Based on the Actiotope Model of Giftedness, this article introduces a learning-resource-oriented approach for gifted education. It provides a comprehensive categorization of learning resources, including five exogenous learning resources termed educational capital and five endogenous learning resources termed learning capital. Evidence from the literature is presented that supports the validity of each of the categories. Finally, 12 implications of a learning resource orientation for gifted education are discussed in relation to four areas: gifted education orientations, gifted identification, gifted education principles, and gifted learning resources management.

Over the past few decades, systemic thinking has gained in popularity in developmental and learning sciences. The trend has, however, shown up in gifted education research only occasionally. The aim of this article is to introduce systemic thinking to the field of giftedness and explore possibilities for its application. In the first part, a definition of a system is provided and basic concepts of systemic thinking are introduced. In the second part, a full-fledged systemic model is introduced, the actiotope model of giftedness. In the third part, implications for gifted education are elaborated. In the discussion, the authors explain (a) how systemic thinking can make a valuable contribution to gifted education, (b) why systemic thinking will complement rather than replace current approaches to gifted education, and (c) the necessity of combining systemic thinking with other empirically testable theories.

Mentoring is considered among the most effective pedagogical measures, yet it is rarely used in gifted education. One of the main reasons for this neglect seems to be the lack of a thorough analysis of its conceptual foundations from the point of view of giftedness research. This contribution starts with a discussion of conceptual and definitional issues pertinent to mentoring gifted individuals. An ideal definition is proposed, followed by a review of the effectiveness of mentoring programs. Existing mentoring programs rarely take full advantage of the educational potential inherent in mentoring. Next, the conditions and characteristics of effective mentoring are analyzed. From a general pedagogical point of view, mentoring should allow full use of the “Learning Triad” of modeling, instruction, and provision of learning opportunities and satisfy the “Big Four” effective learning processes (improvement‐oriented learning, individualization, feedback, practice). Mentoring can promote excellent development of the whole actiotope of a gifted individual.

Given that video conferencing serves as a crucial means for remote teaching, the current study investigated higher education students’ (non)use of webcams and engagement in synchronous online courses. Three phases were studied: (1) A state of engagement; (2) antecedents that influence it; and (3) consequences of engagement. The cross-sectional online survey encompassed 3,610 students. Results indicated that visual and verbal engagement were only slightly related to each other. Structural equation modelling revealed different direct and indirect influences on either visual or verbal engagement in synchronous online higher education courses. Due to the novelty of the research scope, results of this study provide a foundation for further investigation.

The COVID-19 pandemic had a strong impact on higher education in 2020. Worldwide, universities developed and implemented online courses for distance learning within a relatively short amount of time. The current study investigated how ready students were for this exceptional situation and how their readiness for digital learning influenced their socio-emotional experiences. N = 1,826 students from across all institutional faculties of a German comprehensive university took part in the online survey immediately before the semester began. Results indicate that, on average, higher education students seem to be ready for digital learning. A k-means cluster analysis revealed two groups of students that significantly differed with respect to their readiness for digital learning (in terms of technological equipment, prior experiences with e-learning, and skills for digital learning). Finally, students’ socio-emotional experiences, that is, their perceived stress, their work-life-balance as well as social and emotional loneliness significantly differed due to their cluster membership. Hence, the study points to the need to support higher education students in successfully coping with the challenges of emergency remote studying.

The current field study investigated the weekly use of a reflective electronic (e-)portfolio by 1469 higher education students throughout a term and its effect on exam performance. Students’ use of the e-portfolio elements as well as their self-reported use of several learning strategies were documented during a 9-week period. Regression analyses showed that over and above the continuous use and the weekly time spent on the e-portfolio, the reported use of cognitive strategies was a significant predictor for exam grade. Finally, students who used the e-portfolio outperformed their peers without e-portfolio use on the final exam. We discuss results with regard to future implementation and training of the e-portfolio use.