Best Practices in Promoting Faculty-Student Interaction in Online STEM Courses

Freeman, Thomas M.; Jarvie-Eggart, Michelle

doi:10.18260/1-2--32148

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Each attention head corresponds to a set of weight matrices ω ψ , ω Φ and ω Ψ . For each attention head H, the attention level of the unit (word) can be calculated by the attention layer formula of the emotion recognition model for online learning engagement (10). The splicing operation SP( ) is performed on the calculated vector.…”

Section: Text Vectorizationmentioning

confidence: 99%

“…The online learning effect is positively correlated with the learners' emotional engagement in online learning [5][6][7][8]. Therefore, online learning platforms monitor learners' emotional engagement in real time to evaluate the teaching quality throughout the learning process [9][10][11][12][13][14][15]. In actual learning scenarios, learners have more and more personalized needs, the learning environment becomes increasingly complex, and the learning state is more difficult to detect.…”

Section: Introductionmentioning

confidence: 99%

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Emotion Recognition of College Students’ Online Learning Engagement Based on Deep Learning

Wang¹

2022

Int. J. Emerg. Technol. Learn.

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In actual learning scenarios, learners have more and more personalized needs. The traditional measuring tools of emotional engagement can no longer meet the personalized needs of online learning. To solve the problem, this paper explores the emotion recognition of college students' online learning engagement based on deep learning. Firstly, the features were extracted from the texts related to online learning reviews and interactive behaviors of college students, and the texts were vectorized by the multi-head attention mechanism. Based on the multi-head attention mechanism, a bidirectional long short-term memory (BLSTM) emotion classification model was established, which describes the emotional attitude of learners towards learning engagement more clearly and more accurately. Through experiments, the proposed model was proved effective in emotion recognition of college students’ online learning engagement.

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Section: Text Vectorizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Emotion Recognition of College Students’ Online Learning Engagement Based on Deep Learning

Wang¹

2022

Int. J. Emerg. Technol. Learn.

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“…Similarly, Freeman and Jarvie-Eggart ( 2019 ) asserted that teacher-learner interaction is a core element of any online course. The instructor should be actively present in online learning and promote regular and substantive interaction with the learners.…”

Section: Literature Reviewmentioning

confidence: 99%

Future Problem-Solving Practiced During COVID-19: Implications for Health Management Students' E-Health Literacy Identity

Alt¹,

Naamati-Schneider

Meirovich

2022

Front. Psychol.

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The current study describes the implementation of an online Future Problem Solving (FPS) program in the field of Health education and set out to explore its contribution to students' eHealth Literacy identity, by using two levels of teacher guidance: minimal vs. frequent. FPS was employed in two groups of Health students. In the research group, frequent weekly guidance was provided to the students centered on the enhancement of eHealth Literacy skills, whereas in the control group minimal guidance was offered by the lecturer. Data for the analysis were gathered from 113 Israeli undergraduate students of a Management of Health Service Organizations program, of whom 62 comprised the research group. Data were gathered twice, pre- and post-program implementation from both groups. Findings showed significant differences between the tests only for the research group, with increased levels of eHealth Literacy skills detected between the tests. The perception of the FPS program as meaningful contributed to students' perceived eHealth Literacy skills only in the research group whereas non-significant results were shown for the control group. This study mainly shows that the enhancement of skills in online educational environments requires frequent and personalized guidance. Faculty must recognize the role of the instructor as a facilitator of learning and design successful scaffolding strategies to nurture students' lifelong learning skills during distance learning.

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“…Researchers have found that using active learning in STEM classrooms leads to many positive outcomes for students [5,6,[9][10][11][12][13][14]. Students show an increased understanding of the course material and are less likely to fail the class [7,[11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Faculty Use of Active Learning in Community Colleges

Chasen,

Marlor,

Finelli

et al.

2023 ASEE Annual Conference &Amp; Exposition Proceedings

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gan. She is Fellow of both the ASEE and the Institute for Electrical and Electronics Engineers (IEEE), associate editor for the European Journal of Engineering Education, and member of the Governing Board of the Research in Engineering Education Network. She was previously chair of EECHA, chair of the ERM Division of ASEE, co-chair of the ASEE Committee on Scholarly Publications, deputy editor for the Journal of Engineering Education, and associate editor for IEEE Transactions on Education.Dr. Finelli studies the academic success of students with attention-deficit/hyperactivity disorder (ADHD), social justice attitudes in engineering, and faculty adoption of evidence-based teaching practices. She also led a project to develop a taxonomy for the field of engineering education research, and she was part of a team that studied ethical decision-making in engineering students.

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Best Practices in Promoting Faculty-Student Interaction in Online STEM Courses

Cited by 4 publications

References 9 publications

Emotion Recognition of College Students’ Online Learning Engagement Based on Deep Learning

Emotion Recognition of College Students’ Online Learning Engagement Based on Deep Learning

Future Problem-Solving Practiced During COVID-19: Implications for Health Management Students' E-Health Literacy Identity

Faculty Use of Active Learning in Community Colleges

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