RESUMO
The growth in digital technologies in recent decades has offered many opportunities to support students' learning and homework completion. However, it has also contributed to expanding the field of possibilities concerning homework avoidance. Although studies have investigated the factors of academic dishonesty, the focus has often been on college students and formal assessments. The present study aimed to determine what predicts homework avoidance using digital resources and whether engaging in these practices is another predictor of test performance. To address these questions, we analyzed data from the Program for International Student Assessment 2018 survey, which contained additional questionnaires addressing this issue, for the Swiss students. The results showed that about half of the students engaged in one kind or another of digitally-supported practices for homework avoidance at least once or twice a week. Students who were more likely to use digital resources to engage in dishonest practices were males who did not put much effort into their homework and were enrolled in non-higher education-oriented school programs. Further, we found that digitally-supported homework avoidance was a significant negative predictor of test performance when considering information and communication technology predictors. Thus, the present study not only expands the knowledge regarding the predictors of academic dishonesty with digital resources, but also confirms the negative impact of such practices on learning.
RESUMO
Learning from a text-picture multimedia document is particularly effective if learners can link information within the text and across the verbal and the pictorial representations. The ability to create a mental model successfully and include those implicit links is related to the ability to generate inferences. Text processing research has found that text cohesion facilitates the generation of inferences, and thus text comprehension for learners with poor prior knowledge or reading abilities, but is detrimental for learners with good prior knowledge or reading abilities. Moreover, multimedia research has found a positive effect from adding visual representations to text information, particularly when implementing signaling, which consists of verbal or visual cues designed to guide attention to the pictorial representation of relevant information. We expected that, as with text-only documents, struggling readers would benefit from high text cohesion (Hypothesis 1) and that signaling would foster inference generation as well (Hypothesis 2). Further, we hypothesized that better learning outcomes would be observed when text cohesion was low and signaling was present (Hypothesis 3). Our first experimental study investigated the effect of those two factors (cohesion and signaling) on three levels of comprehension (text based, local inferences, global inferences). Participants were adolescents in prevocational schools (n = 95), where some of the students are struggling readers. The results showed a trend in favor of high cohesion, but with no significant effect, a significant positive effect of cross-representational signaling (CRS) on comprehension from local inferences, and no interaction effect. A second experiment focused on signaling only and attention toward the picture, with collection of eye-tracking data in addition to measures of offline comprehension. As this study was conducted with university students (n = 47), who are expected to have higher reading abilities and thus are less likely to benefit from high cohesion, the material was presented in its low cohesive version. The results showed no effect of conditions on comprehension performances but confirmed differences in processing behaviors. Participants allocated more attention to the pictorial representation in the CRS condition than in the no signaling condition.
RESUMO
BACKGROUND AND AIM: The effects of text cohesion and added pictures on acquired knowledge have been heavily studied each in isolation. Furthermore, studies on the effects of specific characteristics of pictures, whether facilitating or hindering, are scarce. Schnotz's ITCP Model (2014) allows to formulate hypotheses regarding the combined effect of text cohesion and presence and level of detail of a picture. This study investigates these hypotheses in the case of children reading scientific texts. SAMPLE: One hundred and one-second-, third-, and fourth-grade pupils with a mean age of 9 years, in the western United States. METHODS: Data were collected over three sessions to encompass an understanding of each pupil's knowledge based on prior sessions. RESULTS AND CONCLUSIONS: Results showed a significant increase in pupils' knowledge between pre-test and immediate post-test, but as hypothesized, no significant difference between levels of cohesion. No significant difference between types of pictures was detected. After 1 week, knowledge built with a high cohesive text significantly dropped with low-detail picture, whereas, with high detail, or no picture, there was no significant difference. Results suggested that when participants were given a low-detail picture with a low cohesive text, the integration process of the material was more restricted than with a high cohesive text.
