A conducive learning environment in international higher education:A systematic review of research on students’ perspectives

Higher education institutions (HEIs) strive to meet international students' needs and expectations regarding their learning environments. Current literature covers a wide range of needs, expectations, and HEIs' responses. However, there doesn't seem to be a consensus about the needs and expectations to be addressed. A coherent theoretical framework may help HEIs identify areas of need and provide additional resources and comprehensive services. We performed a systematic review to obtain an overview of international students' needs, expectations, and experiences regarding their learning environments as described in the literature. We categorized students' perspectives into dimensions. Subsequently, we investigated whether these dimensions related to the three key domains outlined in the theoretical framework and the coverage of these key domains by HEIs. Sixty-three studies were eligible for inclusion. We identified 18 dimensions of international students' needs, expectations, and experiences that could be mapped onto the framework. Based on these results, the content of the three domains could be summarized as goal direction, relationships, and supporting services. Thirteen studies covered one domain, 14 covered two domains, and 36 covered three domains. To provide optimal support, HEIs should cover all three domains. Our study may help to better understand and optimize learning environments for international students

Identifying Player Types to Tailor Game-Based Learning Design to Learners:Cross-sectional Survey using Q Methodology

BACKGROUND: Game-based learning appears to be a promising instructional method because of its engaging properties and positive effects on motivation and learning. There are numerous options to design game-based learning; however, there is little data-informed knowledge to guide the choice of the most effective game-based learning design for a given educational context. The effectiveness of game-based learning appears to be dependent on the degree to which players like the game. Hence, individual differences in game preferences should be taken into account when selecting a specific game-based learning design. OBJECTIVE: We aimed to identify patterns in students' perceptions of play and games-player types and their most important characteristics. METHODS: We used Q methodology to identify patterns in opinions on game preferences. We recruited undergraduate medical and dental students to participate in our study and asked participants to sort and rank 49 statements on game preferences. These statements were derived from a prior focus group study and literature on game preferences. We used by-person factor analysis and varimax rotation to identify common viewpoints. Both factors and participants' comments were used to interpret and describe patterns in game preferences. RESULTS: From participants' (n=102) responses, we identified 5 distinct patterns in game preferences: the social achiever, the explorer, the socializer, the competitor, and the troll. These patterns revolved around 2 salient themes: sociability and achievement. The 5 patterns differed regarding cheating, playing alone, story-telling, and the complexity of winning. CONCLUSIONS: The patterns were clearly interpretable, distinct, and showed that medical and dental students ranged widely in how they perceive play. Such patterns may suggest that it is important to take students' game preferences into account when designing game-based learning and demonstrate that not every game-based learning-strategy fits all students. To the best of our knowledge, this study is the first to use a scientifically sound approach to identify player types. This can help future researchers and educators select effective game-based learning game elements purposefully and in a student-centered way

Gamification of health professions education:a systematic review

Gamification refers to using game attributes in a non-gaming context. Health professions educators increasingly turn to gamification to optimize students' learning outcomes. However, little is known about the concept of gamification and its possible working mechanisms. This review focused on empirical evidence for the effectiveness of gamification approaches and theoretical rationales for applying the chosen game attributes. We systematically searched multiple databases, and included all empirical studies evaluating the use of game attributes in health professions education. Of 5044 articles initially identified, 44 met the inclusion criteria. Negative outcomes for using gamification were not reported. Almost all studies included assessment attributes (n = 40), mostly in combination with conflict/challenge attributes (n = 27). Eight studies revealed that this specific combination had increased the use of the learning material, sometimes leading to improved learning outcomes. A relatively small number of studies was performed to explain mechanisms underlying the use of game attributes (n = 7). Our findings suggest that it is possible to improve learning outcomes in health professions education by using gamification, especially when employing game attributes that improve learning behaviours and attitudes towards learning. However, most studies lacked well-defined control groups and did not apply and/or report theory to understand underlying processes. Future research should clarify mechanisms underlying gamified educational interventions and explore theories that could explain the effects of these interventions on learning outcomes, using well-defined control groups, in a longitudinal way. In doing so, we can build on existing theories and gain a practical and comprehensive understanding of how to select the right game elements for the right educational context and the right type of student

Development and validation of a uniform QUality Instrument for ClerKship (QUICK)

ObjectiveBecause both clerks and medical faculty quality management workers expressed the need for it, we aimed to develop a compact, valid and uniform instrument to assess the quality of Dutch clinical clerkships across all medical faculties in the Netherlands.MethodWe divided all 249 items from existing published and unpublished clerkship quality instruments into the three essential learning environment domains: content, atmosphere and organisation. In a 3-stage Delphi procedure, the 45 most relevant items from this list were selected that comprehensively covered the three domains. All clinical clerks in the country’s northeastern educational region were invited to evaluate their last clerkship using this draft instrument. We used half of these data for item reduction and the other half to validate the final instrument, the QUality Instrument for ClerKships (QUICK).ResultsAfter the Delphi procedure and further item reduction, the QUICK comprises 15 items, 5 in each domain. The internal consistency of the QUICK and each of the three domains was satisfactory (Cronbach’s α 0.88, 0.73, 0.84 and 0.67, respectively). The variance of the draft instrument domain scores were explained for &gt;80% by item variance of the final QUICK. A panel of educational experts and medical faculty quality management workers evaluated QUICK’s face validity as good.ConclusionThe QUICK is a concise and valid instrument to assess the quality of Dutch clinical clerkships. Its repeated use in a quality cycle can contribute to monitoring and ongoing development of the quality of this key phase in the medical education curriculum.OBJECTIVE: Because both clerks and medical faculty quality management workers expressed the need for it, we aimed to develop a compact, valid and uniform instrument to assess the quality of Dutch clinical clerkships across all medical faculties in the Netherlands.METHOD: We divided all 249 items from existing published and unpublished clerkship quality instruments into the three essential learning environment domains: content, atmosphere and organisation. In a 3-stage Delphi procedure, the 45 most relevant items from this list were selected that comprehensively covered the three domains. All clinical clerks in the country's northeastern educational region were invited to evaluate their last clerkship using this draft instrument. We used half of these data for item reduction and the other half to validate the final instrument, the QUality Instrument for ClerKships (QUICK).RESULTS: After the Delphi procedure and further item reduction, the QUICK comprises 15 items, 5 in each domain. The internal consistency of the QUICK and each of the three domains was satisfactory (Cronbach's α 0.88, 0.73, 0.84 and 0.67, respectively). The variance of the draft instrument domain scores were explained for &gt;80% by item variance of the final QUICK. A panel of educational experts and medical faculty quality management workers evaluated QUICK's face validity as good.CONCLUSION: The QUICK is a concise and valid instrument to assess the quality of Dutch clinical clerkships. Its repeated use in a quality cycle can contribute to monitoring and ongoing development of the quality of this key phase in the medical education curriculum.</p

The DREEM, part 1: measurement of the educational environment in an osteopathy teaching program

Background Measurement of the educational environment has become more common in health professional education programs. Information gained from these investigations can be used to implement and measure changes to the curricula, educational delivery and the physical environment. A number of questionnaires exist to measure the educational environment, and the most commonly utilised of these is the Dundee Ready Educational Environment Measure (DREEM). Methods The DREEM was administered to students in all year levels of the osteopathy program at Victoria University (VU), Melbourne, Australia. Students also completed a demographic survey. Inferential and correlational statistics were employed to investigate the educational environment based on the scores obtained from the DREEM. Results A response rate of 90% was achieved. The mean total DREEM score was 135.37 (+/- 19.33) with the scores ranging from 72 to 179. Some subscales and items demonstrated differences for gender, clinical phase, age and whether the student was in receipt of a government allowance. Conclusions There are a number of areas in the program that are performing well, and some aspects that could be improved. Overall students rated the VU osteopathy program as more positive than negative. The information obtained in the present study has identified areas for improvement and will enable the program leaders to facilitate changes. It will also provide other educational institutions with data on which they can make comparisons with their own programs