et al., 2008; Christensen and Schunn, 2007;Davis and Sumara 2006; Grinter, 1956; Jonassen, 2000; NAE, 2004; Silk and Schunn, 2008).Proposed ApproachThe central idea in this proposed approach is to have students work on two parallel projects, oneis the technical redesign of simple kitchen appliances (e.g., a toaster), and the other the design oftheir academic path (i.e., courses to take, extracurricular activities, habits, skills, etc.). While thestudents work on these two parallel projects, a periodical intervention will help them connect thetechnical approaches to their academic project. For example, using journals and reflection tounderstand how students had to frame a problem, ask for help, evaluate options, and decide toimprove a toaster
participates in a one-credit class, ENGR 291. Learningobjectives for the course include: • Articulate different definitions and related sub-themes that could comprise peer advising, peer mentoring, interpersonal communication, and leadership soft skills. • Evaluate current level of development in soft skills and develop a plan for future reflection, evaluation, and adjustment to said skills. • Demonstrate effectiveness as an Engineering Peer Advising Leader and build confidence in providing advising assistance to engineering students. • Articulate familiarity with different resources and involvement opportunities in the College of Engineering and campus-wide opportunities and
Jared Markunas who assisted in the development of the survey that will inform the engagementguide prototype.References[1] D. R. Fisher, A. Bagiati, and S. Sarma, “Developing Professional Skills in Undergraduate Engineering Students Through Cocurricular Involvement,” J. Stud. Aff. Res. Pract., vol. 54, no. 3, pp. 286–302, Jul. 2017, doi: 10.1080/19496591.2017.1289097.[2] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, teamwork, professionalism, lifelong learning, and reflective behavior skills,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Madrid, Spain, Oct. 2014, pp. 1–7. doi: 10.1109/FIE
adjacent activities context. Kirn & Bensonfound that students’ choices in the present, including how they solved engineering problems, wereconnected to how they thought about their futures. In our study, we wonder whether students’engineering-adjacent participation may also be connected to their FTP development. We anticipatethat a majority of Kirn & Benson’s interview questions [5], some of which we adapted to ourcurrent context while others were added or removed, will help us explore connections betweenstudents' current actions and their future goals. To better capture students’ actions, we havedeveloped interview questions to guide participants to reflect on their future goals, share theirpresent actions related to involvement in
anything. And so, yes, it was a good experience, yes, it was incredibly stressful because it was extra, it was always seen as extra.” (Mitchell)While participation in this program may not have resulted in grant money, publications, orteaching credits, benefits and outcomes described by participants do relate to their developmentas researchers and educators and can affect the characteristics, output, and metrics used whenbeing considered for promotion and tenure. Some faculty participants did not make thisconnection, but others did with varying degrees of reflection on the applicability of their growthin communication and collaboration skills related to more tangible promotion and tenure metrics. Table 1: Applicability of Participation in
useful subscales that associate with SRMDM. The revised instrument which wasdeveloped through several iterations (Orr, Martin, Ehlert, Brotherton, & Manning, 2021) (Ehlert,et al., 2019) is called the Multidimensional Inventory of Decision-Making Competency (MIDC)(Ehlert, et al., 2019).MIDC is based on four factors: Impulsivity, Avoidance, learning, and Information Gathering.Impulsivity encompasses making a decision without considering the consequences; Avoidancetargets refraining from making decisions for oneself and allowing other people (i.e. parents orfriends) to make decisions on their behalf; Learning focuses on reflecting on past decisions andInformation Gathering, which includes collecting information, assessing strategies
components: personal information management, personalknowledge internalization, personal wisdom creation, and interpersonal knowledge transferring.Information management consists of collecting, evaluating, and organizing information.Knowledge internalization includes analysis, learning, and reflection. Wisdom creation is ahigher order of thinking that adds problem-solving and creativity to the process. Finally,knowledge transfer includes sharing and communicating what was learned in the othercomponents.There are many overlapping concepts between PKM models and how Luhmann implemented hisZettelkasten. Jarche [4] offers the simplest model which is seek, sense, and share. The steps ineach system are key aspects of what faculty are expected to do for
, as we each brought our own disciplinarybiases and (mis)understanding/(mis)perception of writing and thinking. These disciplinary andconceptual differences were also reflected in our assessment expectations and rubric design. 4However, despite the challenges encountered, our meetings did serve as a space in which weentered critical dialogue with one another about what writing means, what thinking entails, themulti-dimensions of engineering problems, ethical decisions in problem solving, and anawareness of student limitations as well as our own limitations. We asked each other questionssuch as: is it ethical to expect our students to find solutions in a “writing,” non-technical, non
of Computing in EngineeringThe need to learn computer programming is well understood in some engineering disciplines; forothers, the application of programming is less evident (Arjmandi, Woo, Mankelow, Loho,Shahbaz, Auckaili, & Thambyah, 2023). Coding builds independence, computational thinking,and the ability to reflect on and critique one’s efforts (Siu, 2022). For example, when studentslearn to debug code, they are learning the process of finding solutions to their errors and beingable to view things through a critical problem-solving lens (Siu, 2022) … just the things thatengineers need to know how to do. Therefore, this course familiarizes students withmicrocontrollers, an integral part of many modern, technological devices, with a
, students were asked to complete the modulesin class in a self-paced activity. This self-paced format seemed to be a good fit for studentsexploring standards, with one student saying: Personally, I really preferred this type of module for AM standards over the typical lectures. Not to say that technical standards and AM standards aren't important, but it would be difficult to fully learn and understand them by just sitting through lectures about them. I thought the reflections and case study were the best activities to have gone through in the modules. Showing how to find standards and then trying to apply them and give reasoning to where they can be used was a good exercise, and made the overall topic
differences could be driven by other factors, such as characteristics ofparticipants in these groups, different environments or context that they face, among other things.Tech companies have for decades favored A/B tests to understand adoption choices bycustomers. They also conduct experiments to determine the most effective approaches formanaging people and maintaining a productive environment. An example is Lazear (2000) whostudied the impact of piece rates on productivity. The study estimated a 44% overallimprovement in productivity due to piece rates by gradually implementing a new compensationscheme. Around 22% of this was due to greater effort (the incentive effect), and the remaining22% reflected sorting (better new hires) or potentially some
characters from a distant past.6. Narrative poetry. Similar to an epic, a narrative poem tells a story. Henry WadsworthLongfellow’s “The Midnight Ride of Paul Revere” and Samuel Taylor Coleridge’s “The Rime ofthe Ancient Mariner” exemplify this form.7. Pastoral poetry. A pastoral poem is one that concerns the natural world, rural life, andlandscapes. These poems have persevered from Ancient Greece (in the poetry of Hesiod) toAncient Rome (Virgil) to the present day (Gary Snyder).8. Sonnet. A sonnet is a 14-line poem, typically (but not exclusively) concerning the topic oflove. Sonnets contain internal rhymes within their 14 lines; the exact rhyme scheme depends onthe style of a sonnet.9. Elegies. An elegy is a poem that reflects upon death or loss
a distant past.6. Narrative poetry. Similar to an epic, a narrative poem tells a story. Henry WadsworthLongfellow’s “The Midnight Ride of Paul Revere” and Samuel Taylor Coleridge’s “The Rime ofthe Ancient Mariner” exemplify this form.7. Pastoral poetry. A pastoral poem is one that concerns the natural world, rural life, andlandscapes. These poems have persevered from Ancient Greece (in the poetry of Hesiod) toAncient Rome (Virgil) to the present day (Gary Snyder).8. Sonnet. A sonnet is a 14-line poem, typically (but not exclusively) concerning the topic oflove. Sonnets contain internal rhymes within their 14 lines; the exact rhyme scheme depends onthe style of a sonnet.9. Elegies. An elegy is a poem that reflects upon death or loss
and computing. We began our work by designing a computational thinkingdiagnostic that can be administered to students as they enter the engineering program in order todetermine student's ability to use the principles and practices that are learned by studyingcomputing. We can report that 3584 students were participants during the development of theEngineering Computational Thinking Diagnostic (ECTD) and the last 469 were involved inexploratory and confirmatory analysis.Engineers use computing to design, analyze, and improve systems or processes. ABET citescomputing as a foundational skill for engineering proficiency [1], [2]. The Taxonomy for theField of Engineering Education Research also reflects the importance of computational thinkingas a
, andthe application of knowledge and skills to problems that are representative of those faced bypracticing engineers” (p. 124) [8]. As such, learning effectiveness is first and foremostunderstood as relating to certain outcomes.However, measures of learning effectiveness go well beyond learning outcomes. Other measurescan be attitudes such as motivation [9, 10], satisfaction [9, 11], and initiative [7]. Some studiesmeasured learning effectiveness based on resources, teaching activities, and services provided[12], or instruction, curriculum management, and technological media [2]. As these measuresbetter reflect aspects of teaching practices, they may better represent teaching effectiveness thanlearning effectiveness. Notably, learning
visualdemonstration, to bring their words to life; 2) To connect an accompanying narrative describingeach lived experience, thus, expressing the world as they see and experience it. Throughphotography, reflection, and critical dialogue, five undergraduate students at a large southeasternPWI shared their stories and agreed on actionable measures to improve Black engineeringstudents’ experiences at their university. During semi-structured interviews, participants describedthe images they captured related to the research prompts. Using an inductive approach, weconducted a reflexive thematic analysis, and six themes emerged related to the students’experiences: (1) finding comfort, (2) building community, (3) fitting in, (4) experiencingfrustration, (5
a specific topic. Each module has stated learningoutcomes aligned with the program mission and the training needs of the STEM outreachprograms. Each module also provides skill development under the Future Skills framework.Within the module, participants are provided with key information and theory, participate inshort active learning activities, and are provided with reflection opportunities to self-assess onwhat they’ve learned. Modules topics are as follows: 1. Organizational Introduction 2. Anti-Racism in STEM 3. Classroom Management 4. Communicating with Parents 5. Conflict Resolution 6. Future Skills 7. Gender Equity 8. Inclusion and Accessibility 9. Indigenous Worldviews 10. Managing Stress/Mental Health
withreflection behaviors and academic performance. The results indicated a mastery approachsignificantly affected exam scores and the total number of reflections, while a performance-approach only affected exam scores [56]. The findings suggest that mastery-approach studentswould adopt self-reflection strategies at higher rates than performance-approach students. Asimilar pattern was found in a study of motivational orientations in pharmacy students and theirexam scores on multiple-choice and short-essay exams [57]. Findings indicated that the mastery-approach orientation correlates with higher scores on essay exams, while performance-avoidanceorientations correlate with lower scores on either exam type. These results align well with theliterature, as
, the study abroad program was given the green light, and the projectimplementation period in Costa Rica was three weeks. During the program, each student was required to write two journals: a technical one to detailtheir daily work and accomplishments and a second to reflect on their international and culturalexperience. Writing a technical journal can be a valuable way for students to reflect on their daily workand progress. It can also serve as a record of their accomplishments, which may be helpful whenpreparing resumes or applications in the future. Students can use the technical journal to describethe tasks they performed, the challenges they faced, and the strategies they used to overcomethose challenges. They can also reflect on
design as a result of feedback), and reflection (reflecting on design aspects ordesign decisions). The study also examined parent facilitation techniques during the engineeringexperiences and the ways in which older children demonstrated moments of agency duringinteractions with a parent at an interactive engineering exhibit [29].Moving beyond the designed informal learning context [30] of the museum, more recent work aspart of the Head Start on Engineering (HSE) Project and Research Exploring ActivityCharacteristics and Heuristics for Early Childhood Engineering (REACH-ECE) Project has goneon to explore how families engage in engineering across a number of different settings, includingcommunity programs, early education programs, and the home
voluntary convenience samplesurvey. Over 2,000 respondents from 26 countries and 234 institutions responded, revealing anoverwhelming mental health crisis in the graduate student population [9], [10]. They reportelevated rates of anxiety (41%) and depression (39%) in the sampled community, suggesting thatgraduate students are six times as likely to experience depression and anxiety compared to thegeneral public. Likewise, students have not been passive in their dissatisfaction with the state ofthe academy. In recent years, student labor organizing [11], labor strikes, and general protestmovements have become common reflecting the general themes of modern politics including themultiple epidemics of sexual harassment [12], [13], racism [14], [15
to reflectively consider these differences duringour research process.4. FindingsParticipants reported a variety of advantages and limitations of VR as a training tool compared to thetwo-dimensional (2D) video-based design observation practice they received as a part of their globalhealth program training, as well as the in-person design observation practice they gained whileworking in clinical environments. Findings are organized below into 1) a comparison of VR andclassroom-based design observation training, 2) a comparison of VR to in-person design observationpractice, and 3) description of the effectiveness of VR as a training tool.4.1 Advantages and limitations of VR compared to classroom-based design observation trainingmodesCompared
quantitatively analyze how such reflection related to achievementgoals. In another example of NLP-in-the-loop, Zhang et al. [22] used NLP to identify bias,unseen relationships, and missed coding opportunities among teachers’ responses regardingquestions related to the digital divide. The authors first used traditional methods of qualitativeanalysis to arrive at a set of thematic codes, then they used NLP techniques to cluster the surveyresponses and examined the semantic content captured by these techniques. They compared thethemes resulting from the traditional approach to those arrived at through NLP to identifyincongruities associated with errors and inconsistencies among human coders.Our study focuses primarily on the fourth broad category of using
; (iv) Student voice and choice; (v)Reflection; (vi) Critique and revision; and (vii) Public product. The public product in this instancewas this publication.The four graduate student members of this project came from two different institutions, three fromthe University of Massachusetts Lowell, majoring in Biomedical Engineering, ElectricalEngineering and Mechanical Engineering and one from the University of the District of Columbia,majoring in Mechanical Engineering. The group co-created the material for this research withfeedback from three faculty mentors in the two participating institutions. Faculty and studentinteraction is crucial in the co-creation process, and it has been found to provide many benefits onstudents’ educational
involved framing of the BPC goals, assessingcurrent data systems for points of vulnerability and opportunity, a data request from the statesystems, data visualization, utilization and reflection.Data was drawn from reflective team journals; notes, collaborative materials and observationsmade during collaborative meetings; and the technical assistance requests made during theproject.When developing data infrastructure in support of BPC, diverse teams matter. Teams neededrepresentation from people who can access institutional or state data, understand the practicalcontext of the data to support interpretation, and help tie data to broader advocacy efforts.Ongoing team engagement, both within and across states, allowed the space to consider
intentionalacts in how students understand empathy and the “meaning context” for which the relationshipbetween students and their subjects are made. The interdisciplinary or even transdisciplinaryapproach for developing and analyzing empathy embedded in engineering education provides alink to expand into other analysis techniques, such as discourse analysis.Others have certainly seen the benefits of discourse to think through empathy in education.Warren [20], for instance, reflects on the ways that adopting different, critical classroomdiscourses is important for creating and expressing a culturally sensitive and empatheticdisposition. Nolan [21] understands teacher discourses and dispositions as almost synonymous,explaining that teachers’ dispositions
in controlled motivation or amotivation.MethodsAutoethnographyAutoethnography [17] is a technique that uses self-reflection for recognition, exploration,appreciation and documentation of personal experiences. The autoethnographic approach wasapplied to elaborate and understand the results obtained from the research goals. Both authorsperformed research based on a structured approach and collected data. The following questionswere used to understand the results and answer the complexity of an effective learning strategy: • What was the background and context of your teaching experience? • What teaching and learning changes were implemented during the teaching experience? • What were the lessons learned from your teaching
to their reviewed writingaccording to a detailed rubric. After the peer review, each student has a chance to revise theirown report. By focusing on only part of the full-length report, the grading burden is also reduced. Direct and indirect assessments of students’ technical writing skills were carried out inthree semesters of the implementation of the ‘scaffold peer review’ approach in a junior levellaboratory course. Results of the assessments show significant improvement of the technicalwriting skills of students. Students’ reflection on about this approach and their perception abouttechnical writing in general also confirmed the positive impact of this approach. Although theimplementation is within the Engineering Physics program
]. Ultimately, designthinking exercises thinking skills and overall literacy, both during and after achieving learningoutcomes [12].5. CONCLUSIONSThis study first aims to classify engineering design thinking in curriculum design, analyse thecharacteristics and connotations of different introduction approaches, and establish a basicframework and methodology for the study of design thinking in the field of higher engineeringeducation. Finally, the study concludes with a detailed analysis of keywords and key coursetypes in design thinking in higher engineering education, laying the foundation for futureresearch. The backbone of existing research is reflected in the case studies, individualisedcurriculum design, the connotative purpose of the curriculum
and thinking styles, whereas higher analytical thinking scoresindicate more logical, rigid writing and thinking styles [9]. Lower clout scores indicate more of aself-focus, a “follower” not caring as much about relative social status, whereas higher cloutscores indicate a “leader” with more focus on dominating the others in a group [10]. While lowerauthenticity scores can reflect a measure of deception, they also indicate a prepared or sociallycautious response, whereas higher authenticity scores indicate more spontaneous, complex,honest, and unfiltered conversations [11], [12]. Lower emotional tone scores indicate a morenegative attitude, whereas higher emotional tone scores indicate a more positive outlook in thetext [13]. LIWC provides