羅孟婷 助理教授

Meng-Ting Lo

羅孟婷現任於國立陽明交通大學教育研究所教育心理組助理教授。 2020年獲美國俄亥俄州立大學教育心理博士學位，主修量化研究方法、評鑑與測量 (Quantitative Research, Evaluation and Measurement)。其專長領域為測驗評量與統計建模，對多層次資料處理有著豐富經驗，亦有教育心理領域的專業知識、結合數位科技跨領域的研究成果。她先前於國立陽明交通大學校務大數據研究中心任職助理研究員，於校務研究與大學推動永續發展上亦有豐富實務經驗。羅孟婷博士的研究具二大主軸：一為應用數位科技即時掌握學習心理與行為資料，進行個體差異化學習剖析等進階學習議題；二為學習科學、跨域整合大數據分析於高等教育領域之應用與研究。

計畫

《學習投入評量與回饋系統—以經驗取樣法重新檢視數位原民時代學生之瞬時學習動機與學習投入》 Engagement evaluation and feedback system: Digital natives’ momentary motivation and engagement—An experience sampling method approach 計畫主持人(NSTC; 2021/04/01~2023/07/31)

期刊論文

• Language and Reading Research Consortium (LARRC), Lo, M. T., & Xu, M. (2022). Impacts of the Let’s Know! curriculum on the language and comprehension-related skills of prekindergarten and kindergarten children. Journal of Educational Psychology, 114(6), 1205-1224.
• Zhang, J., Lo, M. T., & Lin, T-J., (2022). Word and child characteristics in vocabulary learning of native English speakers and bilingual learners. Reading and Writing, 1-27.
• Lo, M. T., Perry, H. A., & Berenbon, R. (2022). An in-depth analysis of the perceived stress scale among college freshmen and transfer students. Measurement and Evaluation in Counseling and Development, 1-17.
• Lower-Hoppe, L. M., Anderson-Butcher, D., Lo, M. T., & Turner, B. A. (2020). The influence of organizational climate and process on youth outcomes: A case study of a community youth sport organization. Leisure/Loisir, 44(4), 489-520.
• Lo, M. T., Chen, S. K., & O’Connell, A. A. (2018). Psychometric properties and convergent validity of the Chinese version of the Rosenberg self-esteem scale. Journal of Applied Measurement, 19(4), 413-427.
• Lo, M. T., Chen, S. K., & Lin, S. S. (2017). Groups holding multiple achievement goals in the math classroom: Profile stability and cognitive and affective outcomes. Learning and Individual Differences, 57, 65-76.
• Chen, S. K., Lo, M. T., & Lin, S. S. (2015). Impulsivity as a precedent factor for problematic Internet use: How can we be sure? International Journal of Psychology, 52(5), 389-397.

專書章節

• O’Connell, A. A., Lo, M. T., Goldstein, J., Rogers, H. J., & Peng, C. J. (2022) Multilevel logistic models for dichotomous and ordinal data. In O’Connell, A. A., McCoach, D. B., & Bell, B. A. (Eds.). Multilevel Modeling Methods with Introductory and Advanced Applications. Charlotte, North Carolina: Information Age Publishing.
• 魏彗娟、羅孟婷、王蒞君 (2022)。從教育4.0看校務研究之未來發展與實踐。載於周景揚、王蒞君(主編)，以資料為本的校務決策績效評估。臺灣校務研究專業協會。

研討會論文

• Chen, W. L.* & Lo, M. T. (2023, April). Performance Evaluation of Exploratory Graph Analysis and Traditional Methods for Determining Optimal Number of Factors. Paper will be presented at 2023 American Educational Research Association (AERA) Annual Meeting. (*為指導學生)
• Lo, M. T., Chiou, Z.Y. *, & Chen, W. L. * (2023, April). What PISA’s Global Competency Assessment Further Reveals about the Progress of Education for Sustainable Development. Paper will be presented at 2023 American Educational Research Association (AERA) Annual Meeting. (*為指導學生)
• Lo, M. T. (2022, May). DIF Detection Using Data Mining Techniques: Identifying Additional Sources of Unfairness in Educational Measurement. Paper presented at 2022 American Educational Research Association (AERA) Annual Meeting virtually.