Providing effective motivational support is a critical determinant of a successful online distance learning experience for students in higher education. In this study, we examined how students’ academic level and use of 8 motivational regulation strategies influence 3 types of student engagement: behavioral engagement, emotional engagement, and cognitive engagement. A total of 95 undergraduate and graduate students enrolled in online courses in 4-year universities in the United States participated in this study. A series of hierarchical regression analyses of undergraduate and graduate online students (N = 95) showed that behavioral engagement, emotional engagement, and cognitive engagement are predicted by different motivational regulation strategies after controlling for the academic level. Additionally, students’ academic level was found to be a predictor of cognitive engagement but not a predictor of behavioral engagement or emotional engagement. The results suggest that online course instructors, tutors, and designers should provide students with differentiated motivational scaffolding based on their motivational profile in order to promote different aspects of learning engagement.

Student motivation is widely recognized as a positive influence on engagement and learning in higher education. This study tested the structural relationships between motivational regulation strategies (MRSs) and engagement moderated by academic level (undergraduate and graduate) and learning environment (classroom and online). A total of 252 undergraduate and graduate students participated in the study. Confirmatory factor analysis confirmed the construct validity of the measurement and the measurement model validity. The two-step structural equation modeling was employed to examine the structural model validity and relationships between MRSs and engagement moderated by academic level and learning environment. The results indicated that (1) interest enhancement and environmental control are significantly linked to behavioral engagement, and (2) interest enhancement, goal orientation, and behavioral reinforcement are significantly associated with both emotional engagement and cognitive engagement. In addition, student academic level was found to be a significant factor that moderates the relationship between MRSs and engagement.

Research Findings: This study aims to validate a scale highlighting the applicability of selected TPACK (Technological Pedagogical Content Knowledge) domains of knowledge to early childhood education and to explore the internal relationships between TPACK’s components in the Chinese context. A survey instrument was designed and administered to 1,192 early childhood (EC) in-service teachers enrolled in their national training programs. The instrument consisted of 29 items classified into four categories that align with the conceptual TPACK framework and are applicable to the EC context, including Technology Knowledge (TK), Technological Pedagogical Knowledge (TPK), Pedagogical Knowledge (PK), and TPACK. CFA and path analysis generated a model with good fit. The confirmed model indicated that (1) TK, TPK, and PK were significantly correlated; (2) TK, TPK, and PK all had direct positive effects on TPACK; however, (3) PK had a smaller influence on TPACK. Practice or Policy: The instrument was a reliable and valid assessment for measuring the TPACK of Chinese EC teachers and may be used to inform future research. The findings suggest that ECE training should shift away from focusing on discrete technological skills (i.e., TK) and instead emphasize preparing teachers with mastery in pedagogic approaches for integrating digital technology into instruction.

This study investigated preservice teachers’ emotional experiences while interacting within a virtual scenario-based teacher-training system called Simulation for Teaching Enhancement of Authentic Classroom beHavior Emulator (SimTEACHER). We created three types of interactions (no interaction, unexpected interaction, and expected interaction) within SimTEACHER and examined the influences of the interaction design on preservice teachers’ emotional responses in three aspects: key performance indicators (attention, emotional engagement, and sentiment), emotional valence (positive, neutral, and negative), and four basic emotions (joy, sadness, fear, and anger). Fourteen preservice teachers from a 4-year public university in southwestern South Korea participated in this study. The data of the participants’ emotional expressions were collected using the Emotient software, which has been widely used for automated facial expression recognition and analysis. A series of one-way repeated-measured Analysis of Variance (ANOVA) indicated that participants experienced higher positive and neutral emotions, higher emotional engagement, and a higher feeling of joy when they engaged in unexpected interactions than when they engaged in expected interactions or no interactions.

This study examines the relationships between students’ academic levels, the use of motivational regulation strategies, and cognitive learning strategies. A total of 141 undergraduate and graduate students enrolled in online distance courses participated in the study. The findings show that students use different motivational regulation strategies and cognitive learning strategies depending on their academic levels. Additionally, hierarchical regression analyses using two dependent variables (i.e., surface level learning strategy and deep processing level learning strategy) indicate that a surface level learning strategy (i.e., rehearsal) and deep processing level strategies (i.e., elaboration, organization, and critical thinking) are predicted by different sets of motivational regulation strategies after controlling for academic level and age. The results provide distance educators and instructional designers with practical suggestions on how to support undergraduate and graduate students’ motivational needs and further promote their use of cognitive learning strategies in online distance education programs in higher education.