Programmed instruction invades the wabash valley     

Nathan Z. Bridwell 《Performance Improvement》1969,8(4):20-23

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All that glitters is not gold—Mixed early labour market outcomes of STEM graduates in Poland     

Tomasz Z. Zając  Tomasz Żółtak  Marek Bożykowski  Mikołaj Jasiński 《European Journal of Education》2023,58(3):477-497

The expansion of higher education resulted in a growing interest in post-graduation labour market outcomes. Two conflicting narratives are present in the debate. The first focuses on the shortage of skills and the need for further expansion of the sector and seems to pertain mostly to science, technology, engineering, and mathematics (STEM). The second revolves around over-education and mismatch leading to graduate unemployment or underemployment. Such concerns pertain especially to humanities and social sciences. However, in this article, we argue that the STEM versus non-STEM opposition on which this debate is premised is not adequate for analysing post-graduation labour market outcomes. We leverage a unique administrative dataset comprising monthly records on the labour market status of the entire population of recent Polish university graduates (N = 161,323) to demonstrate the heterogeneity of the STEM category in terms of labour market outcomes and the limited predictive value of the field of study for those outcomes. We argue that the category is too broad and internally diverse to be used as an overarching category, especially in research meant to inform policymaking.  相似文献   

Factors Influencing Scientific Achievements of Medical Students in the Anatomy Research Group: An Analysis From the Autonomous University of Nuevo León in Mexico     

Milton Alberto Muñoz-Leija  Francisco J. Barrera  Pablo Patricio Zárate-Garza  Alejandro Quiroga-Garza  Javier Humberto Martínez-Garza  David de la Fuente-Villarreal  Santos Guzmán-López  Rodrigo Enrique Elizondo-Omaña 《Anatomical sciences education》2022,15(2):369-375

Scientific research and student involvement are critical to the formation of physicians, yet the number of medical researchers has decreased over time. To implement corrective strategies, the variables associated with positive research attitudes and productivity among medical students must be identified. The aim of this study was to evaluate the variables associated with students interested or involved in research. A validated questionnaire was applied to the student members of an established anatomy research group in a Mexican medical school with a six-year medical program. Data were collected and analyzed. A total of 85.5% (n = 77/90) students answered the survey with most respondents being second-year medical students. The majority of respondents indicated that the important component of conducting research was a contribution to the new knowledge (45.5%) and to the scientific community (42.9%). More than half of respondents mentioned a professor or a peer as the initial motivation to become involved in research. Lack of time was the main limitation (59.7%) to research involvement. Perceived benefits were knowledge and team work skills. Of those involved, most (85.7%) wished to continue participating in research as a complement to their clinical work. Professors and student colleagues were found to play an important motivational and recruitment role for medical research. These efforts in turn have developed into long-lasting mentor-mentee relationships. Students also anticipated that early involvement in research will positively influence the likelihood of future physicians' contribution and collaboration in research.  相似文献   

Multimodal learning analytics—In-between student privacy and encroachment: A systematic review     

Paul Prinsloo  Sharon Slade  Mohammad Khalil 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(6):1566-1586

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Analogical reasoning for human performance improvement     

Z. Chen 《Performance Improvement》1991,30(2):27-28

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Understanding privacy and data protection issues in learning analytics using a systematic review     

Qinyi Liu  Mohammad Khalil 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(6):1715-1747

The field of learning analytics has advanced from infancy stages into a more practical domain, where tangible solutions are being implemented. Nevertheless, the field has encountered numerous privacy and data protection issues that have garnered significant and growing attention. In this systematic review, four databases were searched concerning privacy and data protection issues of learning analytics. A final corpus of 47 papers published in top educational technology journals was selected after running an eligibility check. An analysis of the final corpus was carried out to answer the following three research questions: (1) What are the privacy and data protection issues in learning analytics? (2) What are the similarities and differences between the views of stakeholders from different backgrounds on privacy and data protection issues in learning analytics? (3) How have previous approaches attempted to address privacy and data protection issues? The results of the systematic review show that there are eight distinct, intertwined privacy and data protection issues that cut across the learning analytics cycle. There are both cross-regional similarities and three sets of differences in stakeholder perceptions towards privacy and data protection in learning analytics. With regard to previous attempts to approach privacy and data protection issues in learning analytics, there is a notable dearth of applied evidence, which impedes the assessment of their effectiveness. The findings of our paper suggest that privacy and data protection issues should not be relaxed at any point in the implementation of learning analytics, as these issues persist throughout the learning analytics development cycle. One key implication of this review suggests that solutions to privacy and data protection issues in learning analytics should be more evidence-based, thereby increasing the trustworthiness of learning analytics and its usefulness.

Practitioner notes

What is already known about this topic

• Research on privacy and data protection in learning analytics has become a recognised challenge that hinders the further expansion of learning analytics.
• Proposals to counter the privacy and data protection issues in learning analytics are blurry; there is a lack of a summary of previously proposed solutions.

What this study contributes

• Establishment of what privacy and data protection issues exist at different phases of the learning analytics cycle.
• Identification of how different stakeholders view privacy, similarities and differences, and what factors influence their views.
• Evaluation and comparison of previously proposed solutions that attempt to address privacy and data protection in learning analytics.

Implications for practice and/or policy

• Privacy and data protection issues need to be viewed in the context of the entire cycle of learning analytics.
• Stakeholder views on privacy and data protection in learning analytics have commonalities across contexts and differences that can arise within the same context. Before implementing learning analytics, targeted research should be conducted with stakeholders.
• Solutions that attempt to address privacy and data protection issues in learning analytics should be put into practice as far as possible to better test their usefulness.

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