How to promote interaction in cooperative learning tasks is discussed from a theoretical perspective in order to maximize the benefits of cooperative learning. A classroom instructional model is presented and examined...How to promote interaction in cooperative learning tasks is discussed from a theoretical perspective in order to maximize the benefits of cooperative learning. A classroom instructional model is presented and examined to illustrate how successful and effective interaction is carried out to create the optimal conditions for second language acquisition.展开更多
At present,classroom instruction should be a self-regulated process and the learner who is self-motivated to explore problems and situations.For learning,the students are learning through the web as a source of knowle...At present,classroom instruction should be a self-regulated process and the learner who is self-motivated to explore problems and situations.For learning,the students are learning through the web as a source of knowledge,the learning environment should be shifted to a learner-centered rather than teacher-centered environment.Commerce education is to be directed towards mastery in its conventions and principles,towards thinking and solving problems in scientific ways,towards developing a positive outlook to the discipline at the higher secondary level.Attitude towards learning is associated with the academic performance of commerce-related tasks and improving achievement.It should be one of the basic features in designing effective commerce classroom instruction.In the present study,students’attitudes can be enhanced by using a blended learning instructional strategy targeting the variables of learner attitude towards learning of instructional transaction,learning task,classroom interaction,and assessment.The study employs pretest-posttest non-equivalence control group design under the quasi-experimental method.The sample consists of 80 students of standard XII,40 students each in the experimental group and control group.Statistical techniques of descriptive statistics,t-test,and Cohen’s d were used for comparing the pretest and posttest scores of attitude towards learning and measuring the effect size between experimental and control groups.The findings of the study showed that there is a significant difference in the mean posttest scores of attitude towards learning between the experimental group and control group and the blended learning instructional strategy is more beneficial in developing the attitude of higher secondary school students when compared to constructivist teaching strategy.展开更多
The historical interaction sequences of users play a crucial role in training recommender systems that can accurately predict user preferences.However,due to the arbitrariness of user behaviors,the presence of noise i...The historical interaction sequences of users play a crucial role in training recommender systems that can accurately predict user preferences.However,due to the arbitrariness of user behaviors,the presence of noise in these sequences poses a challenge to predicting their next actions in recommender systems.To address this issue,our motivation is based on the observation that training noisy sequences and clean sequences(sequences without noise)with equal weights can impact the performance of the model.We propose the novel self-supervised Auxiliary Task Joint Training(ATJT)method aimed at more accurately reweighting noisy sequences in recommender systems.Specifically,we strategically select subsets from users’original sequences and perform random replacements to generate artificially replaced noisy sequences.Subsequently,we perform joint training on these artificially replaced noisy sequences and the original sequences.Through effective reweighting,we incorporate the training results of the noise recognition model into the recommender model.We evaluate our method on three datasets using a consistent base model.Experimental results demonstrate the effectiveness of introducing the self-supervised auxiliary task to enhance the base model’s performance.展开更多
文摘How to promote interaction in cooperative learning tasks is discussed from a theoretical perspective in order to maximize the benefits of cooperative learning. A classroom instructional model is presented and examined to illustrate how successful and effective interaction is carried out to create the optimal conditions for second language acquisition.
文摘At present,classroom instruction should be a self-regulated process and the learner who is self-motivated to explore problems and situations.For learning,the students are learning through the web as a source of knowledge,the learning environment should be shifted to a learner-centered rather than teacher-centered environment.Commerce education is to be directed towards mastery in its conventions and principles,towards thinking and solving problems in scientific ways,towards developing a positive outlook to the discipline at the higher secondary level.Attitude towards learning is associated with the academic performance of commerce-related tasks and improving achievement.It should be one of the basic features in designing effective commerce classroom instruction.In the present study,students’attitudes can be enhanced by using a blended learning instructional strategy targeting the variables of learner attitude towards learning of instructional transaction,learning task,classroom interaction,and assessment.The study employs pretest-posttest non-equivalence control group design under the quasi-experimental method.The sample consists of 80 students of standard XII,40 students each in the experimental group and control group.Statistical techniques of descriptive statistics,t-test,and Cohen’s d were used for comparing the pretest and posttest scores of attitude towards learning and measuring the effect size between experimental and control groups.The findings of the study showed that there is a significant difference in the mean posttest scores of attitude towards learning between the experimental group and control group and the blended learning instructional strategy is more beneficial in developing the attitude of higher secondary school students when compared to constructivist teaching strategy.
基金supported by the Program for Student Innovation Through Research and Training of Guizhou University under Grant No.2023SRT071.
文摘The historical interaction sequences of users play a crucial role in training recommender systems that can accurately predict user preferences.However,due to the arbitrariness of user behaviors,the presence of noise in these sequences poses a challenge to predicting their next actions in recommender systems.To address this issue,our motivation is based on the observation that training noisy sequences and clean sequences(sequences without noise)with equal weights can impact the performance of the model.We propose the novel self-supervised Auxiliary Task Joint Training(ATJT)method aimed at more accurately reweighting noisy sequences in recommender systems.Specifically,we strategically select subsets from users’original sequences and perform random replacements to generate artificially replaced noisy sequences.Subsequently,we perform joint training on these artificially replaced noisy sequences and the original sequences.Through effective reweighting,we incorporate the training results of the noise recognition model into the recommender model.We evaluate our method on three datasets using a consistent base model.Experimental results demonstrate the effectiveness of introducing the self-supervised auxiliary task to enhance the base model’s performance.
