Pub Date : 2022-10-11DOI: 10.1007/s12528-022-09342-1
Joseph T Wong, Bradley S Hughes
Higher education may benefit from investigating alternative evidence-based methods of online learning to understand students' learning behaviors while considering students' social cognitive motivational traits. Researchers conducted an in situ design-based research (DBR) study to investigate learner experience design (LXD) methods, deploying approaches of asynchronous video, course dashboards, and enhanced user experience. This mixed-methods study (N = 181) assessed associations of students' social cognitive motivational traits (self-efficacy, task-value, self-regulation) influencing their learning behaviors (engagement, elaboration, critical thinking) resulting from LXD. Social cognitive motivational traits were positively predictive of learning behaviors. As motivational factors increased, students' course engagement, usage of elaboration, and critical thinking skills increased. Self-efficacy, task-value, and self-regulation explained 31% of the variance of engagement, 47% of the explained variance of critical thinking skills, and 57% of the explained variance in the usage of elaboration. As a predictor, task-value beliefs increased the proportion of explained variance in each model significantly, above self-efficacy and self-regulation. Qualitative content analysis corroborated these findings, explaining how LXD efforts contributed to motivations, learning behaviors, and learning experience. Results suggest that mechanisms underpinning LXD and students' learning behaviors are likely the result of dynamically catalyzing social cognitive motivational factors. The discussion concludes with the LXD affordances that explain the positive influences in students' social cognitive motivational traits and learning behaviors, while also considering constraints for future iterations.
{"title":"Leveraging learning experience design: digital media approaches to influence motivational traits that support student learning behaviors in undergraduate online courses.","authors":"Joseph T Wong, Bradley S Hughes","doi":"10.1007/s12528-022-09342-1","DOIUrl":"10.1007/s12528-022-09342-1","url":null,"abstract":"<p><p>Higher education may benefit from investigating alternative evidence-based methods of online learning to understand students' learning behaviors while considering students' social cognitive motivational traits. Researchers conducted an in situ design-based research (DBR) study to investigate learner experience design (LXD) methods, deploying approaches of asynchronous video, course dashboards, and enhanced user experience. This mixed-methods study (<i>N</i> = 181) assessed associations of students' social cognitive motivational traits (self-efficacy, task-value, self-regulation) influencing their learning behaviors (engagement, elaboration, critical thinking) resulting from LXD. Social cognitive motivational traits were positively predictive of learning behaviors. As motivational factors increased, students' course engagement, usage of elaboration, and critical thinking skills increased. Self-efficacy, task-value, and self-regulation explained 31% of the variance of engagement, 47% of the explained variance of critical thinking skills, and 57% of the explained variance in the usage of elaboration. As a predictor, task-value beliefs increased the proportion of explained variance in each model significantly, above self-efficacy and self-regulation. Qualitative content analysis corroborated these findings, explaining how LXD efforts contributed to motivations, learning behaviors, and learning experience. Results suggest that mechanisms underpinning LXD and students' learning behaviors are likely the result of dynamically catalyzing social cognitive motivational factors. The discussion concludes with the LXD affordances that explain the positive influences in students' social cognitive motivational traits and learning behaviors, while also considering constraints for future iterations.</p>","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":" ","pages":"1-38"},"PeriodicalIF":5.6,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33517158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1007/s12528-022-09340-3
M. Khalil, P. Prinsloo, Sharon Slade
{"title":"The use and application of learning theory in learning analytics: a scoping review","authors":"M. Khalil, P. Prinsloo, Sharon Slade","doi":"10.1007/s12528-022-09340-3","DOIUrl":"https://doi.org/10.1007/s12528-022-09340-3","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"1 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52828324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-16DOI: 10.1007/s12528-022-09337-y
D. Zou, Haoran Xie, F. Wang
{"title":"Effects of technology enhanced peer, teacher and self-feedback on students’ collaborative writing, critical thinking tendency and engagement in learning","authors":"D. Zou, Haoran Xie, F. Wang","doi":"10.1007/s12528-022-09337-y","DOIUrl":"https://doi.org/10.1007/s12528-022-09337-y","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"35 1","pages":"166-185"},"PeriodicalIF":5.6,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47333485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the relationships between students’ network characteristics, discussion topics and learning outcomes in a course discussion forum","authors":"Sannyuya Liu, Lingyun Kang, Zhi Liu, Liang Zhao, Zongkai Yang, Zhu Su","doi":"10.1007/s12528-022-09335-0","DOIUrl":"https://doi.org/10.1007/s12528-022-09335-0","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44771779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-23DOI: 10.1007/s12528-022-09336-z
Young-Jin Seo, Ki-Hyun Um
The present study aims to conceptualize service quality and perceived value in the context of blended learning by redefining and modifying the existing SERVQUAL model, reviewing prior marketing literature on perceived value, and examining the relationships between service quality, perceived value, and student satisfaction. The sample was restricted to colleges in South Korea, where blended learning programs have started to receive much attention. We examined our hypotheses by using regression analysis via the statistical programs Amos 22.0 and SPSS 23.0. The following results are produced. First, the conceptualization of service quality and perceived value was confirmed. Second, the different effects of online and offline service quality on each perceived value are confirmed. Offline service quality is more effective in generating perceived epistemic value, perceived social value, and perceived emotional value than online service quality, whereas online service quality is more effective in triggering perceived conditional value than offline service quality. Finally, perceived emotional value and perceived conditional value are the important determinants of student satisfaction. We address the theoretical implications that (1) service quality and perceived value are conceptualized through modification, refinement, and empirical testing and develop a multidimensional scale for service quality and perceived value, and (2) the sequential and causal relationships among service quality, perceived value, and student satisfaction are confirmed. Practically, we expect that our measurement scales for service quality and perceived value, which have high validity and reliability, can serve as diagnostic tools for blended learning program evaluation from students' perspective.
{"title":"The role of service quality in fostering different types of perceived value for student blended learning satisfaction.","authors":"Young-Jin Seo, Ki-Hyun Um","doi":"10.1007/s12528-022-09336-z","DOIUrl":"10.1007/s12528-022-09336-z","url":null,"abstract":"<p><p>The present study aims to conceptualize service quality and perceived value in the context of blended learning by redefining and modifying the existing SERVQUAL model, reviewing prior marketing literature on perceived value, and examining the relationships between service quality, perceived value, and student satisfaction. The sample was restricted to colleges in South Korea, where blended learning programs have started to receive much attention. We examined our hypotheses by using regression analysis via the statistical programs Amos 22.0 and SPSS 23.0. The following results are produced. First, the conceptualization of service quality and perceived value was confirmed. Second, the different effects of online and offline service quality on each perceived value are confirmed. Offline service quality is more effective in generating perceived epistemic value, perceived social value, and perceived emotional value than online service quality, whereas online service quality is more effective in triggering perceived conditional value than offline service quality. Finally, perceived emotional value and perceived conditional value are the important determinants of student satisfaction. We address the theoretical implications that (1) service quality and perceived value are conceptualized through modification, refinement, and empirical testing and develop a multidimensional scale for service quality and perceived value, and (2) the sequential and causal relationships among service quality, perceived value, and student satisfaction are confirmed. Practically, we expect that our measurement scales for service quality and perceived value, which have high validity and reliability, can serve as diagnostic tools for blended learning program evaluation from students' perspective.</p>","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":" ","pages":"1-29"},"PeriodicalIF":5.6,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398053/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33443197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-02DOI: 10.1007/s12528-022-09329-y
Yinan Liu, Xingcan Meng, Z. Roy-Campbell
{"title":"The modality and redundancy principles revisited: do they apply in a controlled multimedia lesson?","authors":"Yinan Liu, Xingcan Meng, Z. Roy-Campbell","doi":"10.1007/s12528-022-09329-y","DOIUrl":"https://doi.org/10.1007/s12528-022-09329-y","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"1 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41759121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-27DOI: 10.1007/s12528-022-09328-z
M. Sanchiz, F. Amadieu, J. Lemarié, A. Tricot
Learning with hypertexts require learners to navigate in a non-linear environment and build a coherent representation of the informational content. The expansion of digital technologies and hypertext use in higher education has emphasized the need to examine how technological tools may foster quality learning. This study examined how three types of interactive content organizers (COs) used to represent the main concepts and to navigate in the content pages can impact information processing and learning outcome. The COs designed for the experiment varied in terms of conceptual and navigation support they provide and format. Ninety-three undergraduates used a list of concepts that only provided conceptual support, a summary or a concept map that provided both conceptual and navigation support either with text or graphic format. Results showed that highly coherent COs such as summaries or concept maps improved navigation coherence. However, the summary focused the attention of learners and decreased hypertext exploration (i.e. longer time on the CO and fewer content pages accessed). Longer reading times of the summary also increased text-based outcome, whereas longer processing of the concept map improved inference-based outcome. Implications for the design of interactive COs used to access, navigate and a learn with hypertexts are discussed.
{"title":"Do graphic and textual interactive content organizers have the same impact on hypertext processing and learning outcome?","authors":"M. Sanchiz, F. Amadieu, J. Lemarié, A. Tricot","doi":"10.1007/s12528-022-09328-z","DOIUrl":"https://doi.org/10.1007/s12528-022-09328-z","url":null,"abstract":"<p>Learning with hypertexts require learners to navigate in a non-linear environment and build a coherent representation of the informational content. The expansion of digital technologies and hypertext use in higher education has emphasized the need to examine how technological tools may foster quality learning. This study examined how three types of interactive content organizers (COs) used to represent the main concepts and to navigate in the content pages can impact information processing and learning outcome. The COs designed for the experiment varied in terms of conceptual and navigation support they provide and format. Ninety-three undergraduates used a list of concepts that only provided conceptual support, a summary or a concept map that provided both conceptual and navigation support either with text or graphic format. Results showed that highly coherent COs such as summaries or concept maps improved navigation coherence. However, the summary focused the attention of learners and decreased hypertext exploration (<i>i.e.</i> longer time on the CO and fewer content pages accessed). Longer reading times of the summary also increased text-based outcome, whereas longer processing of the concept map improved inference-based outcome. Implications for the design of interactive COs used to access, navigate and a learn with hypertexts are discussed.</p>","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"93 ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138506938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-06DOI: 10.1007/s12528-022-09326-1
Misty M. Kirby, T. Downer, C. Slade, Marie B. Fisher, Stephen T. Isbel, Z. Siddiqui, Lynn M. McAllister, Allison Miller, C. Wilson
{"title":"A call to action for eProfessionalism: developing the use of ePortfolio with emerging health and education practitioners","authors":"Misty M. Kirby, T. Downer, C. Slade, Marie B. Fisher, Stephen T. Isbel, Z. Siddiqui, Lynn M. McAllister, Allison Miller, C. Wilson","doi":"10.1007/s12528-022-09326-1","DOIUrl":"https://doi.org/10.1007/s12528-022-09326-1","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43999259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-04DOI: 10.1007/s12528-022-09320-7
Kyle M. L. Jones, A. VanScoy, Kawanna Bright, Alison Harding, Sanika Vedak
{"title":"A measurement of faculty views on the meaning and value of student privacy","authors":"Kyle M. L. Jones, A. VanScoy, Kawanna Bright, Alison Harding, Sanika Vedak","doi":"10.1007/s12528-022-09320-7","DOIUrl":"https://doi.org/10.1007/s12528-022-09320-7","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"34 1","pages":"769 - 789"},"PeriodicalIF":5.6,"publicationDate":"2022-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45530222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-04DOI: 10.1007/s12528-022-09324-3
B. Wong, K. Li, S. Cheung
{"title":"An analysis of learning analytics in personalised learning","authors":"B. Wong, K. Li, S. Cheung","doi":"10.1007/s12528-022-09324-3","DOIUrl":"https://doi.org/10.1007/s12528-022-09324-3","url":null,"abstract":"","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44020800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}