Using Electroencephalography to Measure Cognitive Load

Application of physiological methods, in particular electroencephalography (EEG), offers new and promising approaches to educational psychology research. EEG is identified as a physiological index that can serve as an online, continuous measure of cognitive load detecting subtle fluctuations in instantaneous load, which can help explain effects of instructional interventions when measures of overall cognitive load fail to reflect such differences in cognitive processing. This paper presents a review of seminal literature on the use of continuous EEG to measure cognitive load and describes two case studies on learning from hypertext and multimedia that employed EEG methodology to collect and analyze cognitive load data.     

Facial feature tracking: a psychophysiological measure to assess exercise intensity?

The primary aim of this study was to determine whether facial feature tracking reliably measures changes in facial movement across varying exercise intensities. Fifteen cyclists completed three, incremental intensity, cycling trials to exhaustion while their faces were recorded with video cameras. Facial feature tracking was found to be a moderately reliable measure of facial movement during incremental intensity cycling (intra-class correlation coefficient = 0.65–0.68). Facial movement (whole face (WF), upper face (UF), lower face (LF) and head movement (HM)) increased with exercise intensity, from lactate threshold one (LT1) until attainment of maximal aerobic power (MAP) (WF 3464 ± 3364mm, P < 0.005; UF 1961 ± 1779mm, P = 0.002; LF 1608 ± 1404mm, P = 0.002; HM 849 ± 642mm, P < 0.001). UF movement was greater than LF movement at all exercise intensities (UF minus LF at: LT1, 1048 ± 383mm; LT2, 1208 ± 611mm; MAP, 1401 ± 712mm; P < 0.001). Significant medium to large non-linear relationships were found between facial movement and power output (r² = 0.24–0.31), HR (r² = 0.26–0.33), [La^?] (r² = 0.33–0.44) and RPE (r² = 0.38–0.45). The findings demonstrate the potential utility of facial feature tracking as a non-invasive, psychophysiological measure to potentially assess exercise intensity.     

Ready for digital learning? A mixed-methods exploration of surveyed technology competencies and authentic performance activity

The Digital Competency Profiler (DCP) is an online application for surveying the technology preferences and abilities of students in higher education. To explore the DCP as a digital-learning-readiness tool, a mixed-methods research design was developed for relating self-reported digital competencies and online-learning activity. To this end, three authentic scenarios, comprised of six tasks mapped to self-report items, were constructed. Having submitted their survey data, each of 15 participants visited the EILAB to complete a randomly-assigned scenario with a tablet. Both the performance activity and post-activity interviews were recorded digitally using a unique activity-station setup, and task artefacts were gathered as performance outcomes. Analysis was conducted in three phases. In Phase 1, both the audio-video performance data and activity artefacts were coded, assessed and scored. Exploratory correlational analyses showed a pattern of positive relationships at the task and scenario levels for two scenario groups, suggesting some predictive value for the DCP in this context. For the third group, a positive correlation was found at the scenario level, but negative correlations were found at the task level. In Phase 2, detailed case-studies were conducted, incorporating self-report data, coded performance timelines, and post-activity interviews. Several situational influencers related to problem-solving strategy, device comfort, task difficulty and motivation, beyond the purview of the DCP, were identified. In Phase 3, the findings were interpreted to position the DCP as a tool for identifying segments of students with members who, without support, will likely struggle to engage fully in technology-rich learning environments.     

An Analysis of the Validity of the Three-Mile Run as a Field Test of Aerobic Capacity in College Males

Abstract

The purpose of the present investigation was to examine the concurrent and construct validity of the three-mile (4.83 km) run as afield test of aerobic capacity. Subjects included 109 college-aged males whose three-mile run time (M = 1310.31 ± 184.48 s) was measured. Fifty of the subjects were given a maximal treadmill stress test, and their peak oxygen consumption (VO₂peak) (M = 54.23 ± 7.08 ml.kg^?1.min^?1) was measured. The three-mile run was conducted on an outdoor 0.25 mile (0.425 km) track, and split tunes were recorded each 110 yds (100.32 m) for the first and last laps and total time was recorded for laps 2 through 11. The correlation coefficient between the run time and VO₂peak was -.58, indicating only moderate concurrent validity for the run as afield test for aerobic capacity. A factor analysis conducted on the split time data revealed a three-factor structure of a stable pace phase, an initial sprint, and a final sprint with the stable pace factor accounting for most of the common factor variance (69%). The three-mile run time was used to discriminate successfully between two known groups of subjects in aerobic capacity. These data provide a degree of support for the construct validity of the three-mile run as afield test of aerobic capacity.     

Development and Validation of a Method for Determining Tridimensional Angular Displacements with Special Applications to Ice Hockey Motions

Abstract

Tridimensional angular displacements of the skates were determined with a single cinecamera used in conjunction with two orthogonal rods attached to the rear part of the skater's boots. The method was based on the commutative law with the imposed restrictions that two of the angles were small in relation to the other one, and that a sequence of angular displacements was defined. This approach required the sole determinations of the planar coordinates of the three points delimiting the orthogonal rods. An experimental setup was designed to validate the method: the criterion angles were approximated with less than 2 degrees of error. Subsequently, the method was applied to a practical situation: the two-legged stop in ice hockey. The combination of this tridimensional method with instrumented strain gauge skates for the measurement of forces provides a new and powerful tool for performing kinetic analyses in tridimensional skating activities.     

Measurement of cognitive load in multimedia learning: a comparison of different objective measures

Different indicators are interesting for analyzing human learning processes. Recent studies analyze learning performance in combination with cognitive load, as an indicator for learners’ invested mental effort. In order to compare different measures of cognitive load research, the present study uses three different objective methods and one subjective method, reviewing the seductive details effect in a computer-based multimedia learning instruction. An experimental two-group design (N = 50) was used, with exposure to seductive details during learning as the between group factor. Eye movements were analyzed concerning the indicated cognitive activity and cognitive load was measured by the rhythm method (Park 2010; Park and Brünken 2015), the index of cognitive activity (ICA) (Marshall 2007), as well as by subjective ratings of mental effort and task difficulty (Paas 1992). Results confirm the seductive details effect for learning success with a decrease in retention and comprehension performance, an increase in total cognitive activity indicated by eye movements and significant higher cognitive load, indicated by rhythm method. The ICA values and the subjective ratings on mental effort and task difficulty show no difference in cognitive load between the groups. The results provide evidence of the suitability of different objective measures for a direct and continuous cognitive load assessment in multimedia learning. Further, the results show the benefit of combining different methods to gain detailed insight into information processing while learning with multimedia as well as a differentiated access to the single cognitive load factors.