Browsing by Author "Lee, Min-Hsien"
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Item type:Item, A review of features of technology-supported learning environments based on participants' perceptions(2015-12-01) ;Chang, Hsin-Yi ;Wang, Chia-Yu ;Lee, Min-Hsien ;Wu, Hsin-KaiLiang, Jyh-ChongIn this study we reviewed 22 studies on developing instruments that measure teachers\', students\' and adult students\' perceptions of learning environments enhanced by a certain type of technology. We conducted a review of all the instruments to propose a new framework conceptualizing technology-supported learning environments (TSLEs) for future instructional designs, and research on learning environments. This framework was also confirmed with the literature on learning theories. The framework consists of six dimensions: technical, content, cognitive, metacognitive, social, and affective. We found that the studies took more into consideration the technical, cognitive and social dimensions, and less the content, metacognitive, and affective dimensions. Moreover, usability in the technical dimension, relevance in the content dimension, inquiry learning in the cognitive dimension, student autonomy in the metacognitive dimension, and teacher support in the social dimension are the salient features most often investigated in TSLEs. The results provide insights into an overview of the instruments used for TSLEs, implications for the instructional design of TSLEs, and trends in the current and future research on perceptions of TSLEs. (C) 2015 Elsevier Ltd. All rights reserved.Item type:Item, A Review of Intervention Studies On Technology-assisted Instruction From 2005-2010(2013-07-01) ;Wu, Ying-Tien ;Hou, Huei-Tse ;Hwang, Fu-Kwun ;Lee, Min-HsienLai, Chih-HungBy reviewing papers published in five important SSCI journals from 2005 to 2010, this study aimed to provide insights into intervention studies on technology-assisted instruction. It was found that still relatively little research on educational technology which addresses the effects of specific instructional interventions on student learning was conducted during this period. Moreover, most reviewed studies were conducted in higher education, rather than in high school, elementary school, or adult education contexts. The two subject domains, science and engineering (including computer studies), were most frequently involved in these studies, the majority of which addressed achievement as research (learning outcome) foci, while relatively fewer studies investigated students' learning process or affective outcomes. Regarding technology adoption, this study revealed that, in both the 2005-2007 and 2008-2010 periods, technologies for specific instructional purposes(e.g., a specially designed system for online collaborative writing) were more frequently adopted than those for general purposes (such as PowerPoint). This study also reveals that technology-mediated interpersonal interactions are commonly utilized in these intervention studies, with the focus mainly on student-student interactions.Item type:Item, A review of using eye-tracking technology in exploring learning from 2000 to 2012(2013-12-01) ;Lai, Meng-Lung ;Tsai, Meng-Jung ;Yang, Fang-Ying ;Hsu, Chung-YuanLiu, Tzu-ChienThis study aims to disclose how eye-tracking technology has been applied to studies of learning, and what eye movement measures have been used for investigations by reviewing studies that have employed the eye-tracking approach. A total of 81 papers including 113 studies were selected from the Social Sciences Citation Index database from 2000 to 2012. Content analysis showed that eye movements and learning were studied under the following seven themes: patterns of information processing, effects of instructional design, reexamination of existing theories, individual differences, effects of learning strategies, patterns of decision making, and conceptual development. As for eye-tracking measurements, the most often used indices were temporal measures, followed by count and spatial measures, although the choice of measures was often motivated by the specific research question. Research development trends show that the use of the eye-tracking method has proliferated recently. This study concludes that the eye-tracking method provides a promising channel for educational researchers to connect learning outcomes to cognitive processes. (C) 2013 Elsevier Ltd. All rights reserved.Item type:Item, High school students' approaches to learning physics with relationship to epistemic views on physics and conceptions of learning physics(2013-01-01) ;Chiou, Guo-Li ;Lee, Min-Hsien ;Tsai, Chin-Chung ;教育研究所Institute of EducationBackground and purpose: Knowing how students learn physics is a central goal of physics education. The major purpose of this study is to examine the strength of the predictive power of students' epistemic views and conceptions of learning in terms of their approaches to learning in physics. Sample, design and method: A total of 279 Taiwanese high school students ranging from 15 to 18 years old participated in this study. Three questionnaires for assessing high school students' epistemic views on physics, conceptions of learning physics and approaches to learning physics were developed. Step-wise regression was performed to examine the predictive power of epistemic views on physics and conceptions of learning physics in terms of their approaches to learning physics. Results and conclusion: The results indicated that, in general, compared to epistemic views on physics, conceptions of learning physics are more powerful in predicting students' approaches to learning physics in light of the regression models. That is, students' beliefs about learning, compared with their beliefs about knowledge, may be more associated with their learning approaches. Moreover, this study revealed that the higher-level conceptions of learning physics such as 'Seeing in a new way' were more likely to be positively correlated with the deep approaches to learning physics, whereas the lower-level conceptions such as 'Testing' were more likely to positively explain the surface approaches, as well as to negatively predict the deep approaches to learning physics.