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The best teaching strategy computed in previous research maximizes the effectiveness of a lecture. The best teaching strategy computed in this research maximizes the effectiveness of a subject which is composed of multiple lectures. We propose two computation methods based on statistic\u03b1l decision theory for teaching strategies. Dynamic programming algorithm is used in the proposed methods. The first proposed method selects teaching materials for \u03b1 learner. The second proposed method selects teaching materials for multiple learners. A purpose of education is represented by the reward function of Markov decision processes. A teaching strategy is represented by the policy of Markov decision processes. The best teaching strategies computed by the proposed methods maximize the expected reward of Markov decision processes. We show the effectiveness of the proposed methods by some numerical calculation exam\u03c1les.", "subitem_description_type": "Abstract"}]}, "item_3_full_name_183": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "90060", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Maeda, Yasunari", "nameLang": "en"}]}, {"nameIdentifiers": [{"nameIdentifier": "90061", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Suzuki, Masakiyo", "nameLang": "en"}]}]}, "item_3_publisher_212": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u30d0\u30a4\u30aa\u30e1\u30c7\u30a3\u30ab\u30eb\u30fb\u30d5\u30a1\u30b8\u30a3\u30fb\u30b7\u30b9\u30c6\u30e0\u5b66\u4f1a"}]}, "item_3_relation_191": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "https://doi.org/10.24466/jbfsa.17.2_51"}], "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.24466/jbfsa.17.2_51", "subitem_relation_type_select": "DOI"}}]}, "item_3_rights_192": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "c 2015 Biomedicai Fuzzy Systems Association"}]}, "item_3_select_195": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_3_source_id_187": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "2424-2578", "subitem_source_identifier_type": "ISSN"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u524d\u7530, \u5eb7\u6210", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "273", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "30422033", "nameIdentifierScheme": "KAKEN - 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