A micro-perspective on students’ behavioral engagement in the context of teachers’ instructional support during seatwork: Sources of variability and the role of teacher adaptive support

Braak, Marije van; Pol, Janneke van de; Poorthuis, Astrid M. G.; Mainhard, Tim

doi:10.1016/j.cedpsych.2020.101928

Cited by 13 publications

(14 citation statements)

References 49 publications

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“…The third highest was the seatwork and practice set (14.29%), wherein students preferred not to do required tasks. Linking the result towards the result from the study of [54,55], the behavior of students relates to their attitude towards their autonomy. Ref.…”

Section: Undergraduate (Ug) Studentsmentioning

confidence: 99%

“…In addition, ref. [54] indicated that the interaction of students posed a great deal of influence on their ability to do academic tasks such as seatwork or practice sets. With the shift to online learning, students are left with only virtual interaction.…”

Section: Undergraduate (Ug) Studentsmentioning

confidence: 99%

“…The students chose a mixed delivery type. Based on the result, FMS are aligned with the UG students following [38,54,55]. Based on the students' profiles.…”

Section: Fully Online Master's Students (Fms)mentioning

confidence: 99%

“…Students of MDD are also within the working class like FMS. As discussed, students would want to recall the lecture materials via the recordings after the class [38,54,55]. Moreover, based on the profile of students, they come from different countries in Asia.…”

Section: Master's Degree and Doctorate Degree (Mdd) Studentsmentioning

confidence: 99%

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Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers

et al. 2021

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The decline of enrollees for industrial engineering during the COVID-19 pandemic and the increasing demand for professional industrial engineers should be explored. The purpose of this study was to determine the preference of industrial engineering students of different educational levels on online learning during the COVID-19 pandemic. Specifically, this study utilized conjoint analysis with orthogonal design considering seven attributes: delivery type, layout, term style, final requirements, Coursera requirements, seatwork and practice sets, and platforms. Among the attributes, 20 stimuli were created through SPSS and were answered voluntarily by 126 respondents utilizing a 7-point Likert Scale. The respondents were comprised of 79 undergraduate, 30 fully online master’s degree, and 17 master’s and doctorate degree students collected through purposive sampling. One university from the two available universities that offer all educational levels of IE in the Philippines was considered. The results showed that undergraduate students considered the final requirements with multiple-choice as the highest preference, followed by non-modular term style, and no seatwork and practice sets. In addition, fully online master’s degree students considered delivery type with the mix as the highest preference, followed by layout, and no seatwork and practice sets. Finally, master’s and doctorate degree students considered final requirements with publication as the highest preference, followed by no seatwork and practice sets, and mix delivery type. The students are technologically inclined, want to learn at their own pace, know where and how to get additional online learning materials, but still need the guidance of teachers/professors. The results would help contribute to the theoretical foundation for further students’ preference segmentation, specifically on online learning during the COVID-19 pandemic worldwide. Moreover, the design created could be utilized for other courses in measuring students’ preference for online learning even after the COVID-19 pandemic.

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Section: Undergraduate (Ug) Studentsmentioning

confidence: 99%

Section: Undergraduate (Ug) Studentsmentioning

confidence: 99%

“…The students chose a mixed delivery type. Based on the result, FMS are aligned with the UG students following [38,54,55]. Based on the students' profiles.…”

Section: Fully Online Master's Students (Fms)mentioning

confidence: 99%

Section: Master's Degree and Doctorate Degree (Mdd) Studentsmentioning

confidence: 99%

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Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers

et al. 2021

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“…From the beginning of the Covid-19 pandemic, students' learning has been affected due to various factors such as a decreased attention span, technology and internet connectivity problems, work overload, and inadequate support from instructors and colleagues [1]. However, the commitment of both students and teachers has remained during the pandemic [2], which is the reason behind new learning methods compensating for some of the previously indicated factors. As an example, Active Esqueda-Merino D., Mondragón D., Calvillo-Corona L.A., Aldana-Pérez C.A., Chong-Quero J.E.…”

Section: Introductionmentioning

confidence: 99%

“Speed-Dating” as a Learning Method in Online Synchronous Classes

Esqueda-Merino¹,

Mondragón²,

Calvillo-Corona³

et al. 2021

IFIP Advances in Information and Communication Technology

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Since COVID-19, many educational institutions have focused their attention towards remote digital synchronous learning. While this new kind of learning brings some advantages, it also brings new challenges like keeping the students focused and engaged in the courses being given. Through this paper we introduce a learning strategy based on some of the principles of speeddating, a tool that has been explored in the entrepreneurship world for networking, in order to maintain the students' focus in the class activities and topics. The proposal was tested in a Process Automation course for Chemical and Biotechnology Engineers, which is usually not one of their preferred ones due to its complexity in relation to other courses. A framework for incorporating the activities in other courses is presented, along with preliminary quantitative and qualitative results to evaluate its efficacy.

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Education in a Swipe: A User-Experience Framework for Designing Social Network Stories for Engineering Education

Esqueda-Merino

Gómez

Mondragón

et al. 2021

Human Interaction, Emerging Technologies and Future Systems V

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A micro-perspective on students’ behavioral engagement in the context of teachers’ instructional support during seatwork: Sources of variability and the role of teacher adaptive support

Cited by 13 publications

References 49 publications

Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers

Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers

“Speed-Dating” as a Learning Method in Online Synchronous Classes

Education in a Swipe: A User-Experience Framework for Designing Social Network Stories for Engineering Education

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