condenser coil. As thetemperatures rise, the system can transfer the excess heat to a thermal battery. A thermal batteryis a device that stores energy [5]. For this, water could be used for testing (explored later). Thissystem could be tested with major appliances such as refrigerators and ovens/stoves, with theidea being to store and redistribute the energy needed to heat the water.The potential energy that can be harnessed can be represented by the heat transfer equation Q = A × G × η × ΔTQ(BTU) = the amount of heat gathered and storedA = the surface areaG = solar irradiance (BTUs/hour)η = the efficiency of the solar paneΔT = the temperature difference between the panel temperature and the storage
B,D, G and K in the low complexity, code L, P and Q in the moderate complexity, and code S,T and V in the high complexity. This shows that 4 activities out of 11 activities in the lowcomplexity can be considered as active learning activities in the new course, which is 36 %out of 100 %. In the moderate complexity, 3 activities out of 7 activities, which is 43 % out of100 %, can be considered as active learning activities. In the high complexity, 3 activities outof 4 activities, which is 75 % out of 100 %, can be considered as active learning activities.Consequently, the percentage increases as the complexity becomes higher. Table 2. Applicability of active learning activities to the newly suggested course [15]. The codes with A
. O’Connell, E. Wostl, M. Crosslin, T. L. Berry, and J. P. Grover, “Student Ability Best Predicts Final Grade in a College Algebra Course,” 2018, doi: https://doi.org/10.18608/jla.2018.53.11.[9] H. Zeineddine, U. Braendle, and A. Farah, “Enhancing prediction of student success: Automated machine learning approach,” Comput. Electr. Eng., vol. 89, p. 106903, Jan. 2021, doi: 10.1016/J.COMPELECENG.2020.106903.[10] M. A. Yehuala, “Application Of Data Mining Techniques For Student Success And Failure Prediction,” Int. J. Sci. Technol. Res., vol. 4, no. 5, 2015.[11] P. Jiao, F. Ouyang, Q. Zhang, and A. A.H, “Artificial intelligence enabled prediction model of student,” Artif. Intell. Rev., vol. 55, pp. 6321–6344
increasing persistence and retention within thecommunity college context since they address different facets of the engineering experience.These findings offer insight into the potential association between students’ writing responsesand changes in their motivational beliefs, which can be particularly useful for understanding themotivational processes underlying the effects of the intervention. REFERENCES[1] M. Besterfield-Sacre, C. J. Atman, and L. J. Shuman, “Characteristics of FreshmanEngineering Students: Models for Determining Student Attrition in Engineering,” Journal ofEngineering Education, vol. 86, no. 2, pp. 139–149, Apr. 1997, doi: 10.1002/j.2168-9830.1997.tb00277.x.[2] E. Q. Rosenzweig, A. Wigfield
necessary skills to fit the demands of today'srapidly changing and demanding workforce; how underrepresented minorities can become partof the mix of the new talent; and, how Community Colleges can help create a more diverseworkforce. By meeting the students where they are and developing an understanding of theirbackground and communities, we can better assist them so they not only enroll in our programsbut persist all the way to completion, internships, apprenticeship, and career. Over 30 attendeeswere present at the panel and raised excellent questions during the final Q&A period.A high impact practices (HIP) workshop, “Using Qualitative Data to Grow Cultural Wealth andSense of Belonging,” was also featured at the 2022 ATE PI Conference
encyclopedia of qualitative research methods. Sage publications, 2008.[26] J. W. Creswell and V. L. P. Clark, Designing and conducting mixed methods research. Sage publications, 2017.[27] P. Liamputtong, “Focus group methodology: Introduction and history,” Focus Group Methodol. Princ. Pract., vol. 224, pp. 1–14, 2011.[28] M. Patton, “Qualitative research and evaluation methods.(Sage Publications, Thousand Oaks, CA),” 2002.[29] M. Q. Patton, Qualitative research & evaluation methods: Integrating theory and practice. Sage publications, 2014.[30] M. Hesse and C. Hyman, “Using Innovative Technologies to Improve Transfer Student Success.” [Online]. Available: https://www.insidehighered.com/blogs/tackling-transfer
begin preparing them for high-level,internship and research placements.The typical format is a 60-minute scheduled block including: • Company Overview • Staff Career Path • Highlight Projects • Internship Overview (skills, intern projects/involvement) • Intern Alum Advice • Ways to get involved • 15min Student led Q &A Exposure to the different companies and sectors allows students to learn about an array ofpreviously unknown employers and career pathways. The STEM Core Virtual Employer SpeakerSeries further displays that connecting students to relatable STEM role models help studentsfurther engage, meanwhile showing them what they can achieve in the near future. (The