Conference Session

BME Assessment

Collection

2004 Annual Conference

Authors

Lesley Hubbard; Peter Mente; Susan Blanchard

manyinstitutions that have benefited from The Whitaker Foundation’s industrial internshipprogram in biomedical engineering. This combination of internship opportunities forstudents offers a rich source of data for assessment of six of the BME program’soutcomes: 1.a, 1.e, 2.a, 2.b, 2.d, and 3.c.The relevant objectives (numbers) and associated outcomes (letters) that can be assessedwith data from student internships are given below. The numbers and letters inparentheses refer to ABET outcomes 3a-3k.1. To educate students to be successful in Biomedical Engineering by emphasizing engineering and biology as related to basic medical sciences and human health. After completing the B. S. in Biomedical Engineering, graduates will be

Conference Session

DEED Melange

Collection

2014 ASEE Annual Conference & Exposition

Authors

Libby Osgood P. Eng, Dalhousie University and University of Prince Edward Island; Clifton R Johnston P.Eng., Dalhousie University

Tagged Divisions

Design in Engineering Education

. R., & Lee, H. S. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71-79.6 Zoltowski, C. B., Oakes, W. C., & Cardella, M. E. (2012). Students’ ways of experiencing human-centered design. Journal of Engineering Education, 101(1), 28-59.7 Charyton, C. et al. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100(4), 778-799.8 Schilling, W. W. (2012). Effective assessment of engineering design in an exam environment. Proceedings from the 2012 ASEE Conference.9 Sobek, D. K. (2002). Preliminary Findings from Coding Student Design Journals. Proceedings from the 2002 ASEE Conference.10 Nesbit, S

Conference Session

Integrating Materials and Manufacturing

Collection

2005 Annual Conference

Authors

Chrysanthe Demetry

these patterns into four dimensions, with twopossibilities in each dimension. Table 1 summarizes the four dimensions and provides someconcrete examples of how they manifest in learning preferences.Over the past several decades, many studies have shown that some MBTI types tend to strugglein or drop out of engineering programs more than others. These findings are most oftenexplained by mismatches between traditional teaching styles and the learning preferences ofmany of our students. In general, traditional engineering education is biased towards Introversion(I) over Extraversion (E), Intuition (N) over Sensing (S), Thinking (T) more than Feeling (F),and Judgment (J) over Perception (P).4,6,9 The S-N dimension is particularly influential

Conference Session

Assessment Issues II

Collection

2004 Annual Conference

Authors

Ramon Vasquez; Anand Sharma

e S ys te m fo r E v a lu a tio n o f E d u c a tio n (S E E D ) A ssist in a ccre d ita tio n stra te gie s S ys t em for t h e D e p ts. E v a lu a t io n o f E d u ca t ion SEED R e p o s ito r y o f as s e ss m e n t s trat e gie s & to o ls C o o rd in a t e p r o

Conference Session

Assessment of Entrepreneurship Programs

Collection

2003 Annual Conference

Authors

Mary Besterfield-Sacre; Larry Shuman; Bradley Golish; Phil Weilerstein; Harvey Wolfe

catalogue theseinstruments and methodologies used to assess and evaluate current and past E-teams,entrepreneurial programs and courses, the University of Pittsburgh in association with NCIIA isconducting an extensive survey of NCIIA funded projects. Principal investigators (PI) were askedabout their current assessment/evaluation practices, their future assessment needs, themethods/instruments they have employed, etc. Each PI was asked to submit copies of assessmentinstrument(s)/method(s) so that they could be accurately catalogued in the database. Anextensive literature and web-site review was also conducted to identify and classify otherassessment tools that might be useful to NCIIA participants.From the results of the survey, a web-based

Conference Session

Instrumentation Applications

Collection

2012 ASEE Annual Conference & Exposition

Authors

Corey Jamail Davis; Wayland L. Hickman; Vassilios Tzouanas, University of Houston, Downtown

Tagged Divisions

Instrumentation

function model was developed. 0.71 ⋅ e −0.58⋅s G p ( s) = 4 ⋅ s +1 Page 25.388.5It is a typical first order plus dead-time process model.Proportional-Integral (PI) Controller TuningOnce the process model was developed, tuning parameters were calculated using a number ofmethods1 and the system performance was evaluated as shown in Fig. 6. This figure shows theresponse of the control system when a temperature setpoint change of 10F was

Conference Session

Computer and Informtion Technology-related Issues

Collection

2012 ASEE Annual Conference & Exposition

Authors

Suranjan Panigrahi, Purdue University, West Lafayette; Ken Burbank, Purdue University, Statewide Technology

Tagged Divisions

Engineering Technology

educating future professionals with engineering principles integrated with practical experience. Twelve programs in the United States offer four-year bachelor degrees in general Engineering Technology (1). General Engineering Technology degree programs offer an interdisciplinary platform. In addition, many discipline specific engineering technology degrees are offered at the bachelor‟s level. For example, ninety-four ABET accredited programs offer bachelor degrees in Electrical Engineering Technology in the U.S.A. Similarly, sixty-six and six ABET accredited bachelor degree programs are offered in Mechanical Engineering Technology and Industrial Engineering Technology in the United States, respectively (1). A graduate program in

Conference Session

Faculty Development

Collection

2012 ASEE Annual Conference & Exposition

Authors

Angela M. Shartrand, National Collegiate Inventors & Innovators Alliance (NCIIA); Ricardo Leon Gomez, National Collegiate Inventors and Innovators Alliance (NCIIA); Phil Weilerstein, National Collegiate Inventors & Innovators Alliance (NCIIA)

Tagged Divisions

Entrepreneurship & Engineering Innovation

%   Page 25.190.8Figure 1 “Did you use the workshop information and ideas in your course(s)?”    How were workshop ideas and information used? Faculty who said they used workshop ideas andinformation were asked to indicate how. The response frequencies varied by workshop type and arelisted in Table 4. The conference workshop attendees reported adding new classroom activities(19 responses) and sharing workshop information/ideas with colleagues (11 responses) mostfrequently. Many participants also said they expected to use other ideas from these workshops intheir future teaching (18 responses). The curriculum design workshop was designed to help withcourse and program

Conference Session

Civil Engineering Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Edward F. Glynn P.E., Villanova University; Frank E. Falcone, Villanova University

Tagged Divisions

Civil Engineering

to determine the oral presentation grade. Near the completion of the course, the attributes and characteristics sheets originally prepared and submitted by each student, but now including all of the comments from their group members evaluating the student‟s performance as PM, are complied and given back to the students. Therefore, at the conclusion of the course, students have a clear record of their individual performance as PMs as measured against their own initial list of the attributes and characteristics of a ‘good’ PM. This seems to be an extremely effective summary document as part of this approach to introducing, stressing and measuring project management performance.Student Reflections

Conference Session

Research Informing Teaching Practice I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Shanna R. Daly, University of Michigan; Cynthia Finelli, University of Michigan; Ameen Basim Al-Khafaji, College of Engineering at the University of Michigan; Martha Jane Neubauer, College of Engineering at the University of Michigan

Tagged Divisions

Educational Research and Methods

Total 248 (64%) 138 (36%) 386Figure 2 shows the population breakdown by major. Students could report multiple majors, thusthe total count here is greater than our population total. 70 60 50 Number of Students 40 30 20 10 0 om e Ch cal al r S er

Collection

2000 Annual Conference

Authors

Jennie Si; Frank C. Hoppensteadt; Forouzan Golshani; Donald W. Collins; Christian Ringhofer; Kostas Tsakalis

schedulers3,4,5,6,7,8,19,21,22,23,26,41,42, and finally (level 4)the product release generator22. The long-range objective of this research is to assist FABManagers in maintaining a stable FAB with maximum utilization of resources and withminimum inventory in an acceptable time frame.Our research was based on past and existing multidisciplinary ASU/Intel team(s) andASU/Motorola team(s) organized through the SSERC working on operational methods forsemiconductor manufacturing. The ASU/Intel team(s) have been working on an Intel providedabstract problem of the FAB process and the ASU/Motorola team(s) have been working inseveral FABs solving multiple scale problems from the atomistic scale of Chemical VaporDeposition (CVD)2,44 to machine level controllers in diffusion and to

Conference Session

Project/Problem Based Learning (PBL) in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Raissa Seichi Marchiori, The University of Alabama; Siyuan Song, The University of Alabama

Tagged Divisions

Construction Engineering Division (CONST)

, comparative studies that assess theefficacy of various game-based learning tools could provide deeper insights into their respectiveimpacts on student learning and skills development. Investigating the long-term retention ofskills acquired through such interactive learning experiences could also offer significantcontributions to the field.References[1] Bidabadi, N. S., Isfahani, A. N., Rouhollahi, A., & Khalili, R. (2016). Effective teachingmethods in higher education: requirements and barriers. Journal of advances in medicaleducation & professionalism, 4(4), 170.[2] Cruz, M. L., Saunders-Smits, G. N., & Groen, P. (2020). Evaluation of competencymethods in engineering education: a systematic review. European Journal of

Conference Session

Educational Research and Methods Division (ERM) Technical Session 25

Collection

2024 ASEE Annual Conference & Exposition

Authors

Miguel Alfonso Feijoo-Garcia, Purdue University ; Brittany Newell; Alejandra J. Magana, Purdue University ; Mark Holstrom, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

factors overscientific or theoretical knowledge, implementing targeted interventions, thus adjusting theinstructional approach and refining the use of the tool. These efforts aim to strengthen theanalysis of the lesson design’s impact on learning outcomes and explore the potential integrationof emerging technologies for enhanced effectiveness in specific educational contexts.References [1] C. Vieira, R. Aguas, M. H. Goldstein, S. Purzer, and A. J. Magana, “Assessing the impact of an engineering design workshop on colombian engineering undergraduate students,” International Journal of Engineering Education, vol. 32, no. 5, pp. 1972–1983, 2016. [2] M. A. Feij´oo-Garc´ıa., H. H. Ram´ırez-Ar´evalo., and P. G. Feij´oo-Garc´ıa., “Collaborative

Conference Session

Educational Research and Methods Division (ERM) Technical Session 25

Collection

2024 ASEE Annual Conference & Exposition

Authors

Muhammad Asghar, University of Cincinnati; Sheryl A. Sorby, University of Cincinnati; Clodagh Reid, Technological University of the Shannon; Gibin Raju, University of Cincinnati

Tagged Divisions

Educational Research and Methods Division (ERM)

understanding of how the design problem-solving behaviors ofundergraduate engineering participants differ based on their levels of spatial ability while, whysuch differences exist and how they might affect their learning outcomes is yet to be known. Futureresearch provide us some insight into it.ACKNOWLEDGMENTSThis work was made possible by a grant from the National Science Foundation (NSF #2020785).Any opinions, findings, and conclusions, or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National Science Foundation. 11REFERENCES 1. R. Gorska and S. Sorby, "Testing instruments for the

Conference Session

Educational Research and Methods Division (ERM) Technical Session 27

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aturika Bhatnagar, New Jersey Institute of Technology; Prateek Shekhar, New Jersey Institute of Technology; Jeffrey Stransky, New Jersey Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

sampling(KMO = 0.91) and sufficient factor correlations (χ2171 = 2562.3, p < 0.001). Phase 2 also showedsuitable results (KMO = 0.92) and (χ2171 = 2690.6, p < 0.05). Table 3. Cronbach Alpha’s Value for Both Study Phases. Phase 1 Phase 2 Cronbach’s alpha Cronbach’s alpha Searching (S) 0.78 0.80 Planning (P) 0.73 0.77 Managing (M) 0.77 0.82 4 Implementing People (IP

Conference Session

Faculty Development Division (FDD) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Minju Kim, University of California, San Diego; Carolyn L Sandoval, University of California, San Diego; Josephine Relaford-Doyle, University of California, San Diego; Torus Washington II, University of California, San Diego; Saharnaz Baghdadchi, University of California, San Diego; Nathan Delson, University of California, San Diego; Marko Lubarda, University of California, San Diego; Alex M. Phan, University of California, San Diego; Curt Schurgers, University of California, San Diego; Huihui Qi, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

engineeringfaculty at a research institution who collaborated on an NSF-funded research project aimed atstudying the impact of implementing oral exams in high enrollment courses. The primaryresearch questions were: How did the instructor’s perspectives and behaviors change as theyimplemented oral exams in their courses? How did the instructors act on a growth-orientedmindset?MethodsWe invited six teaching professors from the departments of Mechanical and AerospaceEngineering and Electrical Engineering to participate in the study. To protect the confidentialityof each individual, pseudonyms were used in lieu of using their full names in data analysis (SeeTable 1). Instructor Department Course(s) that implemented oral exams

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Loke, Nanyang Technological University; Jeffrey D Radloff, SUNY, Cortland; Ibrahim H. Yeter, Nanyang Technological University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

integration of AI tools into STEMpedagogy. This collaborative network among key stakeholders will serve to support equity andaccessibility in education and create a more inclusive learning environment for all futurelearners.AcknowledgmentThis material is based upon work supported by the AI.R-NISTH AI for Social Good ResearchGrant at Nanyang Technological University in Singapore. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the AI.R program. We would like to acknowledge all the researchers, datacollectors, and students who participated in the study.ReferencesAbulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alexander John De Rosa, University of Delaware; Teri Kristine Reed, OU Polytechnic Institute; Samuel Van Horne, University of Delaware; Angela E. Arndt, Tech Literacy Services

Tagged Topics

NSF Grantees Poster Session

in approaches and areas for improvement or learning on thepart of novices. This work will also feed into the longer term goal of this project which will thenaim to categorize students and dispositions that allow for problem solving success. For example,if we can determine that reflection, or intrinsic motivation, (for example) are critical aspects forsuccess then future work by our group or others could focus on developing these dispositions instudents or would lend weight to existing best practices for doing so.AcknowledgementsSupport for this work was provided by the National Science Foundation under Award No.2301341. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Haolin Zhu, Arizona State University; Amy Trowbridge, Arizona State University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

ofsociety and engineering solutions/technologies related to each theme. They are provided withopportunities to further explore theme(s) that they are interested in through individualizedresearch-based assignments and a team project. In this course, students also learn about programrequirements and opportunities to achieve the program competencies, and develop a customizedfour-year plan for the program, i.e., they identify opportunities they would like to pursue to meeteach competency requirement and plan out when to pursue each opportunity during their fouryear journey. Due to the active learning and group based nature of this course, the first yearstudents also closely connect with their peers and the first year community in the GCSP. Moredetails

Conference Session

Duff's Dynamic Duo: Harnessing the Power of Teamwork for STEM Excellence!

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cristina Diordieva, Nanyang Technological University; Adeel Khalid, Kennesaw State University; Sohini Gupta, Wheeler High School; Ibrahim H. Yeter, Nanyang Technological University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

diverse perspectives andfemale role models in STEM (Konowitz et al., 2022). Introducing students to the narratives andaccomplishments of women, minorities, and people from various cultural backgrounds canmotivate and empower underrepresented groups to pursue careers in STEM (Cheryan et al.,2015; Gilberth, 2015). Institutions, including K-12 and higher education, should develop moreinclusive and supportive environments for students interested in STEM. This involves offeringmentorship programs, networking opportunities, professional development for teachers, andresources suited to the needs of different student demographics. Such efforts align with Yeo etal.’s (2024) preliminary work that teachers use verbal and non-verbal cues to facilitate

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

s sections of theengineering course at a large Midwestern university. Over the semester, students were asked toreflect after each lecture on two aspects of their learning experience, i.e., what they found 1)interesting and 2) confusing in the lecture? In total, we collected reflections from 42 lectures, andthe average class size was 80 students in each section. To inform the study, we generated areflection summary for all reflection submissions in each lecture using both NLP approaches andhuman annotators. Furthermore, we evaluated the quality of reflection summaries by assessingthe ROUGE-N measure for each lecture’s reflection summary generated by all three approaches.These summaries were then aggregated for each approach by averaging

Conference Session

Engineering Education Issues Relevant to Agricultural, Biological and Ecological Engineering: Part 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Niroj Aryal, North Carolina A&T State University; Scott Osborn, University of Arkansas

Tagged Divisions

Biological and Agricultural Engineering Division (BAE)

Paper ID #43707Undergraduate Level Hands-on Ecological Engineering Course with Semester-LongProject and Laboratory ExercisesDr. Niroj Aryal, North Carolina A&T State University Dr. Niroj Aryal is an associate professor of Biological Engineering at the Department of Natural Resources and Environmental Design at the North Carolina A&T State University. His academic background includes a bachelorˆa C™s in Agricultural Engineering, a post-gradate diploma in Environment Education, MS in Biosystem Engineering, and a dual major PhD in Biosystems and Environmental Engineering. Dr. Aryal is interested in instructional

Conference Session

Design Communications & Cognition I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sean P. Brophy, Purdue University, West Lafayette; Sensen Li, Purdue University, West Lafayette

Tagged Divisions

Design in Engineering Education

analysis was to observe a similar level of analysis bystudents individually when asked to answer the questions “What was the problem(s) youwere trying to solve as part of Project 1”?”Research questions: 1. How do FYE students comprehend and state their initial understanding of a given engineering problem? 2. How do FYE initially indentify the primary function of an engineering system (device or process) they are designing?MethodsParticipantsThe participants in this study included sixty-four students enrolled in an honors versionof the first year engineering (FYE) course at a large midwest university during the Fall2010 semester. These students self-select into the course and were accepted on a firstcome bases. These students have a

Conference Session

Middle School Engineering Programs, Curriculum, and Evaluation

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jacob D. Joseph, The College of William and Mary; Jessica Taylor, College of William and Mary, STEM Education Alliance; Gail B. Hardinge, College of William and Mary, STEM Education Alliance; Eugene F. Brown, Virginia Tech

Tagged Divisions

K-12 & Pre-College Engineering

c American Society for Engineering Education, 2011 The Virginia Demonstration Project— A Summative AssessmentIntroductionThe Virginia Demonstration Project (VDP) is a middle-school-focused, educational outreachprogram that is designed to increase the interest of middle-school students in STEM (Science,Technology, Engineering and Math) careers. This is accomplished by exposing the students toreal-life, problem-based challenges, solved in a cooperative learning environment and stimulatedby lesson plans collaboratively implemented by their classroom teacher and visiting Navyscientists and engineers (S&Es). It makes science and math connections between the classroomand real life, supplies

Collection

1999 Annual Conference

Authors

Digendra K. Das

theMechanical Engineering Technology programs at the undergraduate and graduate levels. Thetopics presented in the paper include the development of the simulation laboratory, thecurriculum, students’ response and future plans.IntroductionThe Department of Mechanical Engineering Technology at SUNY Institute of Technology atUtica/Rome, N.Y., has established a successful baccalaureate degree program over the past twodecades. The department offers B. S. and B. Tech. degrees in Mechanical EngineeringTechnology and the program is accredited by TAC/ABET. Recently a new Master of Science inAdvanced Technology (MSAT) degree program has been initiated. All of these programs aresupported by fifteen well equipped laboratories as a consequence of the fact that the

Collection

1997 Annual Conference

Authors

Robert E. Magowan; Azmi Bin Ahmad; Deborah Hochstein

1950’s, devised a partial factorial method of experimental design that requires farfewer trials than the traditional full factorial scientific method. His method combinesengineering techniques with statistical methods in such a way that rapid improvements in qualityand cost reduction occur when optimizing product designs and manufacturing processes. “FordMotor Company was one of the first companies in the United States to recognize the value ofTaguchi’s approach to quality. Ford brought Dr. Taguchi to Dearborn, Michigan, to teach itssuppliers these techniques in 1981.” (Magowan, 1991). “The quality of Japanese automobiles isattributable largely to the widespread application of the Taguchi Method.” (Roy, 1990). It is imperative that

Collection

1998 Annual Conference

Authors

Warren D. Seider; J. D. Seader; Daniel R. Lewin

simulators. The following is an example of how the contents of thejunior-year separations (equilibrium stage and mass transfer) course(s) can be coordinated withthe senior design course(s) to enable chemical engineering graduates at the B.S. level to makesignificant contributions in the workplace. It presupposes that prior to the separations course(s),the student completes a solution thermodynamics course that covers modern methods ofdetermining multicomponent phase equilibriaIn the summer of 1998, a new process design textbook by Seider, Seader, and Lewin21, entitled,"Process Design Principles: Synthesis, Analysis, and Evaluation", will be published by JohnWiley & Sons. The table of contents of this textbook is shown in Table 1. The most

Conference Session

Philosophical Foundations, Frameworks, and Testing in K-12 Engineering

Collection

2005 Annual Conference

Authors

Nalini Bhushan; Glenn Ellis; Eleanor Ory

society’s needs.CONCLUSIONWe have developed a concept map that uses philosophical concepts to organize AI technologyfor use in the high school classroom. The purpose of the map is to increase learning by helpingstudents organize their knowledge in a meaningful and holistic way. We have also developedassociated activities that help students learn about the concepts presented in the map. Page 10.977.6 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright À 2005, American Society for Engineering Education1. Develop initial map(s) Decide on the scope of the

Conference Session

Thermal Systems

Collection

2005 Annual Conference

Authors

James Baughn

done using the electrical analogy.The author learned of this approach at North American Aviation in the early 60’s. This approachis useful for setting up the difference equations and boundary conditions for use in a Spreadsheet.An electrical analogy for heat transfer in a 1-D wall broken into nodes is shown in Figure 3. Inthis analogy, boundary nodes and surface nodes do not have a means for storing energy whereasinternal nodes have a mass associated with them and therefore a thermal capacitance. Thethermal capacitance represents the amount of energy per unit temperature change and is theproduct of the specific heat and mass of a node. The resistances between nodes can be analogousto convection, conduction and even radiation.In Figure 4 an

Collection

2024 ASEE PSW Conference

Authors

Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, USC Viterbi School of Engineering; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California

encourageengagement and knowledge exchange in both student-student and student-ChatGPT interactions.Therefore, gaining a deeper understanding of ChatGPT’s role as a conversation agent in CSCLbecomes increasingly critical. By elucidating the specific contributions of ChatGPT incollaborative learning settings, we can better harness its potential to enhance student engagement,knowledge sharing, and learning outcomes.References [1] L. S. Vygotsky and M. Cole, Mind in society: Development of higher psychological processes. Harvard university press, 1978. [2] D. D. Suthers, “Technology affordances for intersubjective meaning making: A research agenda for cscl,” International Journal of Computer-supported collaborative learning, vol. 1, pp. 315–337