Investigating the thinking processes of eighth grade writers during the composition of a scientific laboratory report     

Carolyn W. Keys 《科学教学研究杂志》2000,37(7):676-690

This study examined the thinking processes used by 16 eighth grade science writers during laboratory report writing and explored the possibility that writing can contribute directly to science learning. Using Bereiter and Scardamalia's ( 1987 ) knowledge‐transformation model of writing as a theoretical lens, the study characterized specific content and rhetorical thinking engaged in by the students using think‐aloud protocols and qualitative data analysis methodologies. Thinking aloud was also related to the quality of the students' written products. Five of the 16 students exhibited no mental reflection during writing, recording information straight from memory into the composition. Two students engaged primarily in rhetorical planning, specifying the sequencing and organization of their writing in advance. Nine students demonstrated scientific problem solving including hypothesis and evidence generation, examining patterns in the data, and making general knowledge claims in response to the need to generate content for writing, indicating that the act of report writing can stimulate science learning directly. However, thinking during writing was not necessary to compose a report that contained hypotheses and supporting evidence. © 2000 John Wiley & Sons, Inc. J Res Sci Teach 37: 676–690, 2000  相似文献   

Telecommunications and Effective Distance Learning Telecourse Design     

Carolyn Ashe  Deborah Buell 《Performance Improvement Quarterly》1998,11(3):6-15

Effective distance learning course design focuses on meeting the lifestyle and learning-style needs of a non-traditional student. Fulfilling these needs is accomplished by making provision for human interaction that fosters classroom rapport, builds class membership behaviors and identification with the university. Equal attention is given to matching high-tech equipment capabilities to instructional purpose, instructor personality, student learning style, and preferred interaction style. Continuing evaluation of telecourse programs is vital for assuring telecourse program quality focusing on student learning satisfaction and cost effectiveness. Findings indicate important implications for the design of distance education courses and programs. An effectively designed distance learning telecourse provides for student academic support services. Effective tele-courses also provide the means for instructor/learner, learner/learner, and learner/content interactivity.  相似文献   

Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics     

Andy Nguyen  Sanna Järvelä  Carolyn Rosé  Hanna Järvenoja  Jonna Malmberg 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(1):293-312

Socially shared regulation contributes to the success of collaborative learning. However, the assessment of socially shared regulation of learning (SSRL) faces several challenges in the effort to increase the understanding of collaborative learning and support outcomes due to the unobservability of the related cognitive and emotional processes. The recent development of trace-based assessment has enabled innovative opportunities to overcome the problem. Despite the potential of a trace-based approach to study SSRL, there remains a paucity of evidence on how trace-based evidence could be captured and utilised to assess and promote SSRL. This study aims to investigate the assessment of electrodermal activities (EDA) data to understand and support SSRL in collaborative learning, hence enhancing learning outcomes. The data collection involves secondary school students (N = 94) working collaboratively in groups through five science lessons. A multimodal data set of EDA and video data were examined to assess the relationship among shared arousals and interactions for SSRL. The results of this study inform the patterns among students' physiological activities and their SSRL interactions to provide trace-based evidence for an adaptive and maladaptive pattern of collaborative learning. Furthermore, our findings provide evidence about how trace-based data could be utilised to predict learning outcomes in collaborative learning.

Practitioner notes

What is already known about this topic

• Socially shared regulation has been recognised as an essential aspect of collaborative learning success.
• It is challenging to make the processes of learning regulation ‘visible’ to better understand and support student learning, especially in dynamic collaborative settings.
• Multimodal learning analytics are showing promise for being a powerful tool to reveal new insights into the temporal and sequential aspects of regulation in collaborative learning.

What this paper adds

• Utilising multimodal big data analytics to reveal the regulatory patterns of shared physiological arousal events (SPAEs) and regulatory activities in collaborative learning.
• Providing evidence of using multimodal data including physiological signals to indicate trigger events in socially shared regulation.
• Examining the differences of regulatory patterns between successful and less successful collaborative learning sessions.
• Demonstrating the potential use of artificial intelligence (AI) techniques to predict collaborative learning success by examining regulatory patterns.

Implications for practice and/or policy

• Our findings offer insights into how students regulate their learning during collaborative learning, which can be used to design adaptive supports that can foster students' learning regulation.
• This study could encourage researchers and practitioners to consider the methodological development incorporating advanced techniques such as AI machine learning for capturing, processing and analysing multimodal data to examine and support learning regulation.

  相似文献