Effect of acute L-Alanyl-L-Glutamine and electrolyte ingestion on cognitive function and reaction time following endurance exercise

The purpose of this study was to examine the effect of the L-Alanyl-L-Glutamine dipeptide (AG) on cognitive function and reaction time (RT) following endurance exercise. Twelve male endurance athletes (23.5 ± 3.7 y; 175.5 ± 5.4 cm; 70.7 ± 7.6 kg) performed four trials, each consisting of running on a treadmill at 70% of VO₂max for 1h, then at 90% of VO₂max until exhaustion. One trial consisted of no hydration (DHY), another required ingestion of only a sports electrolyte drink (ED) and two trials required ingestion of a low dose (LD; 300 mg·500 ml^?1) and high dose (HD) of AG (1 g·500ml^?1) added to the ED. Cognitive function and reaction tests were administered pre- and post-exercise. Magnitude based inferences were used to analyze ? cognitive function and ? reaction test data. Results indicated that DHY had a possible negative effect on number of hits in a 60-sec reaction test compared to LD and HD, while ED appeared to have a negative effect compared to HD. Analysis of lower body quickness indicated that LD and HD were likely improved in comparison to DHY. Performance on the serial subtraction test appeared to be possibly better in ED than DHY, while other comparisons between groups regarding cognitive function were unclear. In conclusion, rehydrating with AG during submaximal exercise may maintain or enhance subsequent RT in upper and lower body activities compared to DHY. These same effects were not apparent when participants consumed ED.     

Physical Activity Correlates for Children With Autism Spectrum Disorders in Middle School Physical Education

Bat/ball contact produces visual (the ball leaving the bat), auditory ( the “crack” of the bat), and tactile (bat vibration) feedback about the success of the swing. We used a batting simulation to investigate how college baseball players use visual, tactile, and auditory feedback. In Experiment 1, swing accuracy (i.e., the lateral separation between the point of contact and “sweet spot”) was compared for no feedback (N), visual alone, auditory alone, and tactile alone. Swings were more accurate for all single-modality combinations as compared to no feedback, and visual produced the greatest accuracy. In Experiment 2, the congruency between visual, tactile, and auditory was varied so that in some trials, the different modalities indicated that the simulated ball contacted the bat at different points. Results indicated that batters combined information but gave more weight to visual. Batting training manuals, which typically only discuss visual cues, should emphasize the importance of auditory and tactile feedback in baseball batting.     

Statistical Properties of the K-Index for Detecting Answer Copying

We investigated the statistical properties of the K-index (Holland, 1996) that can be used to detect copying behavior on a test. A simulation study was conducted to investigate the applicability of the K-index for small, medium, and large datasets. Furthermore, the Type I error rate and the detection rate of this index were compared with the copying index, ω (Wollack, 1997). Several approximations were used to calculate the K-index. Results showed that all approximations were able to hold the Type I error rates below the nominal level. Results further showed that using ω resulted in higher detection rates than the K-indices for small and medium sample sizes (100 and 500 simulees).     

Teachers’ Goal Orientation Profiles and Participation in Professional Development Activities

Participation in professional development activities is important for teachers to continuously improve their knowledge and skills. However, teachers differ in their attitude towards learning activities. This paper examined how different goal orientation profiles are related to participation in professional development activities (acquiring information and asking feedback). To this end, we conducted latent profile analysis based on a sample of 984 teachers in vocational education. Five profiles were identified: diffuse (50.1%), moderate learning (12.3%), high avoidance (10.9%), performance oriented (15.9%) and success oriented (10.7%). Furthermore, means of acquiring information and asking feedback from teachers were compared across the profiles. Teachers with a success-oriented profile (high learning and performance approach goals) scored significantly higher while teachers with a high-avoidance profile scored significantly lower on asking for feedback and acquiring information. Exploration of background characteristics indicated that age, gender and work experience outside education were related to the goal orientation profiles. Our findings show that goal orientation profiles can be used to explain individual differences in teachers’ propensity to engage in professional development activities.     

Do Technological and Course‐Related Variables Impact Undergraduates’ Perceived Favorability and Willingness to Recommend Online/Hybrid Business Courses?

Lower teaching evaluations can affect students’ willingness to recommend an online course. To maintain online course quality, it is important to keep the “integrity” of a course, that is, offer to the extent possible, the same content and learning outcomes in an online course as the face‐to‐face (F2F) equivalent. This study explored the impact of background, technological, and course‐related variables on perceived favorability of online (versus F2F) courses and willingness to recommend courses using two independent “mixed course format” samples of business undergraduates, that is, simultaneously taking online/hybrid and F2F courses. Participants were recruited based on their enrollment in at least one online or hybrid course. A complete data sample of 259 students filled out an online survey in the Fall 2015 semester, followed by a second independent sample of 269 students in the Spring 2016 semester. Hierarchical regression results showed that after controlling for background variables, one course‐related variable (instructor effectiveness) and one technological‐related (perceived ease of use) consistently explained perceived favorability of online (versus F2F) courses across both samples. For the willingness to recommend courses, after controlling for background variables, both course‐related variables (instructor effectiveness and student motivation) and the perceived favorability of the online course were each significant across both samples.